From 0cca68d062deb57f7f2b7b0112a8617f47cb9c8d Mon Sep 17 00:00:00 2001 From: Anton Date: Sat, 26 Oct 2024 13:38:50 +0400 Subject: [PATCH 1/4] lab 1 is done --- README.md | 1 + lab1/lab1.ipynb | 86 ++++++++++++++++++++++++++++++++++++++++ lab1/requirements.txt | Bin 0 -> 1142 bytes lab1/Сваггер.png | Bin 0 -> 65729 bytes 4 files changed, 87 insertions(+) create mode 100644 lab1/lab1.ipynb create mode 100644 lab1/requirements.txt create mode 100644 lab1/Сваггер.png diff --git a/README.md b/README.md index f7dff98..675eb9c 100644 --- a/README.md +++ b/README.md @@ -1,2 +1,3 @@ # AIM-PIbd-32-Smirnov-A-A +ПИбд-32, Смирнов Антон Андреевич, вариант 21 Cсылка на dataset: https://www.kaggle.com/datasets/imakash3011/customer-personality-analysis \ No newline at end of file diff --git a/lab1/lab1.ipynb b/lab1/lab1.ipynb new file mode 100644 index 0000000..32e3608 --- /dev/null +++ b/lab1/lab1.ipynb @@ -0,0 +1,86 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Начало лабораторной \n", + "\n", + "Выгрузка данных из csv файла в датафрейм" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Index(['ID', 'Year_Birth', 'Education', 'Marital_Status', 'Income', 'Kidhome',\n", + " 'Teenhome', 'Dt_Customer', 'Recency', 'MntWines', 'MntFruits',\n", + " 'MntMeatProducts', 'MntFishProducts', 'MntSweetProducts',\n", + " 'MntGoldProds', 'NumDealsPurchases', 'NumWebPurchases',\n", + " 'NumCatalogPurchases', 'NumStorePurchases', 'NumWebVisitsMonth',\n", + " 'AcceptedCmp3', 'AcceptedCmp4', 'AcceptedCmp5', 'AcceptedCmp1',\n", + " 'AcceptedCmp2', 'Complain', 'Z_CostContact', 'Z_Revenue', 'Response'],\n", + " dtype='object')\n" + ] + } + ], + "source": [ + "import pandas as pd\n", + "import numpy as np\n", + "\n", + "df = pd.read_csv(\"..//..//static//csv//marketing_campaign.csv\", sep=\"\\t\")\n", + "\n", + "print (df.columns)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Эта гистограмма в диапазоне с " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "df " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Out " + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "aimenv", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.7" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/lab1/requirements.txt b/lab1/requirements.txt new file mode 100644 index 0000000000000000000000000000000000000000..382accda07d54c50ee5c10fade35f8bf85c8d65a GIT binary patch literal 1142 zcmZXTYf=J1421LBDvyH2E2xwb-&5OL z;@jD)Ev(_c2fo^_?3z>ArCr#J=!VnT)V3TUhCSl;gxC_x5#`q&nZx>I@3yqo4j!+F zjX8IxxcJ2_6`f;lhzl3>7xo3q43=aoG%g*Z8o~^nXXX6rp#!l%ue96}ukD_{H)p71 zFH~wAAtiwbo;A61s^m^8&kh}H6sU{jRVFCffRtsw? zvpi1D`D6p{RQ&3usL8(RR+Af$yGK)lnics%$`$E|jv7>NPwr>eVmd9^GbTU9({pFb z?1gA>L{-Eclg&LU+7XGm+6no2?ft7C_4Q1&LxEfsRxIKlabkN~?su*+*@TQ8-v(7H zehV#R?Ay3!-uJsurd&3mB_^LIoDUQPM)}envw6g^B^6_KrL)TQhi@_I*pz`gpt;8m z2B-M6TjFlfta+U09$kISUF{ub&ky$LZjZQ+{)W`mCaC5SU2lD6>~Egro~$pA#M>w{ zR^^yvR$5+Z*~oZb4ahlaRavnz>x6GpcYQ;rsh?H6#h92hCKPHPR8bs%`}<_0)ZZM$ LizBl4Rqy^UQevj& literal 0 HcmV?d00001 diff --git a/lab1/Сваггер.png b/lab1/Сваггер.png new file mode 100644 index 0000000000000000000000000000000000000000..2f7103acc83b683717aab2456923fcb2203e0273 GIT binary patch literal 65729 zcmeFZXH-*N*EWg;3o2MZlx6`$K(NresEB}c0@76!gwQ1Psv>gVsGwA-p_hatNbiUU zNC`beN`im{Nazq+C}-{a(dT{MGsZb%ob%%w-#5m)$Dr)&z1LoAuDRyCu4^v%TTe&* z7z-B*6BE-hjeBWiLlwY?_oc;V2?TNmG09&hDi z{(5rXsmSV}cEzZ8ze|kG5A&0<*-z&f1C;nZ7bY!;ysp~MGOom=Ga;DdM9_XP<4Liw z!b(bdN?9%=t~A}kMSoSS@@ulvmu(ehlkcQfBYkYe6yx;7p)6cJwlu%P+?}~@>D9cx zVqvHGchSqgoL7w(I4z@9tcy4{m_m#yC&iWqT6dU2^iEG+(NYVjQ6r7q-5a)K_O{SP z{|U0pXm`}|{){)C*<_{jt|=*}P~Js9njjTN@M+W3w{l5a!@KS3rm+WhUc9{NvU@}S z(i-ZoFi*VNP}KrU5c%u8urS)ykJA}f7zaCGk^=kg=O{c#R@2Ko#c4lzOLWWhNS&QN z$KtsD-BxP)5ij!BSr||2m~K+xiJxb;JS*~wcCM``mpBB}n3Xwa4SG2Exf}zt^82`a zDn}RDO;%zQ+jS}j>R%1 z+_D&t9Lxs}BrJd75R#BEj1#vsxO?}_4GD>ur=2l_d;T(Z(3m&z}zw zTsMXJ*Bd$Jd$P2^y-^k;xAy+IudyL49tCdu@ZmUgTly-WN%6aPM=h(p^}$PD*Z#SW zU4mveZ*Onk+TJdivnTqZNZ@ldEznlO=(SKm6NX)ALt0zhRnB#lyDwk9L>c8pf{re2 z9RSz$e0_b>I)V$I)^yg_*Zb6V{%%t5r(~}jvI!Lx( zBV%H+j&O=!R#GCts|#KQ2g7Q7J&<8zVA$K6G+d)6Uo-}c42Cg-y?iOD`KOnV8AM>H zOez7LXvm~_`0#<&_HbSWc1}(^R!($&{uSiUwXKciMy{spoE#eXjZ$D>X!w?{c-ee< zdRkLkTPpOA(Xq&8yC+XRH85$OsK?kporq7$u&BRi`y_;?BR=g*(ZBPj0#ris=;Qmc1$Y&(+j3JR_<@87>3 zAnEu+?_AK<=L++XJ7~Ma!4i1f-Ef|~@#YBH4rAWr$&*ZZ&zZ{_n)mPbfu}K@D!Uf= z1gYNUb3yquY*mNior(evnlZ_PXh|I^!zphqG(5Ier_T%&S#`dx8YCLJx)wO}Xs*LaDV5!F)+g_{NC49JWdnF=h>-N3_M;A=Z`y=Dy^RCve-@018 z@X9#`!fN zec$^47w(%QReAjSej+P7Tjc!tn(hi@xSoN>;WT4JgfCoB9V&B?@e(zz2>G0& zlWbsQ6fJI1p33b~tzR}0SoJ%IWMyVv77@`5W#zr$g;-Yfbe>$a+gzDWP!6b+%P%gL zTuY+g)6zn8;>^oB?8v^3L#24ygOv91IdaX=@V90#s_NAi9I48SbCYLhRnC9CfG7># zc0;DS@M#-MF}~7+);`U{u~Gwate{=fyR$6EjuGCSm1q|(Q+s=Qq7wh@?^7IHT&TZK z2_+at(s|jaT_MqqN;8Ptfx#5EdhGC8lm`6$L zpxwgNPBvPR-iLstLT8dZl6aDfi@G)+Yf?BI$o6SI$D>nZPziX#GVtN@=e|>Ep~E&=_)*u(H*OeoDl_umu${v~V*pFatjZGuImvX7 zV8CJ{CloU(;CZs1GoPeg$oVNsepE`LOFzNH8Uq$wo_%jNm0VNhTt0dr?EmWozhvN+_xp1yR!V-WeIW9XMqO}LHN%L0o0X~V$V@o4 zqDeMA%44`b_+ZuA258?cz;dY6srMtl`tZ<*&t$S$sbhRae8khX*y%)<+Uud)gQZT1 zk8NyfteU}+ALrQNQ}%!Gmh)==RCk6H^sY14Z!J%DuCX-4iJ51cl{i#HNO&(i#3NNk zXra1ov0{efP47uV-#q}td#D?ANxSv>GvAeNb^L`g$PE4YreS~m)s=5rALhc}X{AhBXAEe&^2Xxw_pz#ImUI=L2VOS3oyF zaMoL<;5j%sb3l$g#v|JWSJB{7@XRlD8NtriGCGn(I3ko*KLu`13povyYC}nZ+LxCB z=7a`?Cfm*w47g1v_#m6Kmna8F#e;=U-$J=IK?<%JdGh2*cRInOYRJX}WuyV{1xW94 zwYxiv$EI~&V032H-k%S!@#QPbSNDQ!0(q7Pt=~gsez>CO7pnYw3)Zr#FJ0}3lzq>) zq)4|t8G%Xi9-0SPdGtWg8)it__uLUPD|QXypIR7g z01dt%nlbUpyX!eR=9|0#SaPPGh2I2c<)kxlR@#hFy+-!4>RfJ<-|0%bjTa{Q&DT)$ zKBLXcum%POl22RN5vU*9AWf_dBO<`u`p8E`%H0kc{_Nm>i*cf|zRnlka39jyKn@6V~ojM@}VUpBe zz_;(h`}41dwk3lgy}dpj!NSUF{4Y=$osxn@!O+y~MCTs7%t$`S$CwUGzg|G&Qf#pWeJ8l8iw{z`=Z41ZVwfT_|C1PDr5YB~LKu~ac z5*g&V+w@s+<5$$&>5l$ty7y9xP)(^A?(~%hsrngreQHWUUei!jRrQ@MA-ZqViCWkj zi&yx0*bX25CprT3@D*My2@M#yY%gdJ3vkMy(hhKH>R97j&3pIssyt__SB16xR%f~= z+T!Tr5h@}ea)VJ4K?v&mY@@y=otKw~GAlu$OmNsY$G9CjQiNBg782wYBO-Cufg5U()no+?$c+` zf^CTsVr=`(feFt6zg9Io>IL|SG)n$--DZoAU#6v{g`yX(Xf7DaH5-rdtN?k{tt`8= zX{+S5w_g zX2m|>Z+fzT=>Tty8>Z21ZEdL#3CPvY=mTNZW1egYg$m$s6ztY95Zr)ALD^^gnc(D) z&o&*3m$J)N>|f0DUs@|2K#4aJ>pEBC+sM!vSP#7XXpSkUGrGp+20o3Lph!9`WZAb{%~HrVbNOu?P9QZ;F~= z-Ax8!V=~kuPynvAe*fOp8Y5Z~!0;?_959Fxfw{RL=7#0g&Yc0h7K^QAP`1D0!1B$# z`<{zZ@C#KLhrTEy1mcNnXzFR&2Ci<0DkUCaeBSoBWyalO$x43x@OA?LA1rXHe6&;M zuu?CwPYy9oIbU=9w3yjFKBBFaUx@=@c*vaNON!;be3lUaCN(2FkSg=6QA#DiZ{}$S znV2T5M`{BCL=?Sd2eYQ8p4Ab`m!2&#tQ zXogSsWX;9agA}=R*inTsBhf~-i83;w+agmk&6ovJe!JMS zAC840iTJhey}*5|2OZ6W4kk;%WBq3O@(jbm!##sKvUQTF1m(?OHf6oFIT8tp1kq!< zl7{U)c+USP*_N?7J6P#~CMqR?%zH^Y;TM@wvqnZ7?0EF(k--HOFNoN%{B##MOTA8hR7A%VogJK>+^PF#18jvew@en6`Csa$As^>BTx3+gpC& z{Q1!R-hN3~fB^RmVuyjX?_Vsss-6ELA19RCf$HS79E!s*YT3yIKd< z$z3ZOkWjh+waaHda=N^E3%1n?W3?U}`Su|bSP}mH!v%_K#q-gx%poBmc_48)^k%;Y zlYs(+4Tl;8j#(M>!l1|&f8)p@On<9fKu6sMg&QQfULMb)TgIYS@DbKQ+XUX)(?X(> zrE^acrJW=ne>#1XORrRd$%hFb3F# z^Qx7Rw|BXS3D%JZ&*x^QTqsZta14ZYI^)75ZrtcgRow^X_MWJ5{(`-Ba!d>?4HW?6 zsh@{{y-jnt{rbYFvaqjC1fP=cr_jZvZ>Mz2MRx%}s_rkQugny6Isj@jH%=*gS~NiQ z`TF`W<T0KfQ$(sy*H-40#a zddDtAV|!FF2R!Y)QC(mF#=J}ibf^o!D0fQxS+9k}`1t7(U3&<3$$L=DOZ9F9d5SrJ$XE1-V_xO7& zhG|gQiX*3!v(0u*M^WP6c63aOg!hV&xOm5;lzDSYo>NI(>cD16UBM5D%f|py%!p7% zZ8O&5&~+KUR>*N#CG6ZSZ|(T4m&qD+T6LK zQOOu!>|=b24@Uf#-vhh2IjK7h)cBP_kcjX&9ROMCKv9mg?p;-VP7N_{CJn0jSv$?Tx z!^qQ2afp?1ikEkGIpMY?t&-x-3kDFW-|c8wRVU@HG<46LO=9?p4xL8qB>GmTDB|$> z;j7IO!*S?HW4^U3!on@Q#hz1Ls!F~qT_86Ks#squ7<5Wpt1IWABS3m(isn2Qu<}uP zbBZ5PZozWsP}eRaXjd1EzIUL=j#L2yTJEb?uLMl=e1MsO>SPK@T7JXfU|l?6t&dRI zS&V@A7D(v=70UaJC(0};C?L~)vN_?X$|1Mz)Sn*@~0L~;vKNo$)y!1W*HeKtB<9Oi~`o2s6d)A#c z?3T)6G4$aPna7I6F1q{9mXDP4@DF%?ft$nl%-K~6`&M>#HVPnWz`HcVo${0#Xi5E- zlp(Gb)DKMUS73HL5%ae;+631Ru!8^IRshp*4*0KygOp1`LRGtDKt%2$5feh}kRC#U zvzgOQ`x$%s-iQmiu6E~+H-?wC@qM~21cEhwvmiCl9aJog^BHhYFFD_pTwM>u^MYFe z6(|o3Jv=Hh62yfxfO)6@9k`Dq0=m(HPG1GMWBG8i(uB~rjy(AxLwyx5X4v4aGLVXH zHl8?pHt+lQdx-Mkmey7XyBVR4#UOP}zs#A$e*AbUkj`nt6$p8+xg-dPym-O1O_8bV zw%%Fdv<#pV0^hD{s?`j&pU6pSI%aBW3dtRE7UHIa{-;?0VnQ69FJMIlHbW;nYIMoLpvm3k|Y?O{EVI-I^w?hJZCvjvRvW3%)o5 z@((^msmchq477dXXhWz6@BskDEIkOYxe77!(kbw{$+Ks<*a`|46h?vO0L1MY;&n{} zt2CU2^}}a?X4D40=q-P4!z<_Z4L$?$#L%2eqDLWKSKV~#q?B7B1mrmdK8W^SEU=Y z-f#|r67RXBG*1cX7=fScJUsb;t}p8eLLuH`N2zw6%l<*^e8xN%g7YevYGv9?tXB%J zTAL<7I8X*s0<#I}wjfNcl+|r(U#;6J1R~p8`UtM^$beN-sH0SHnQ^9nc*vy=16|lR&LL`C zURJbP(u8?P2b^5A0;-Ds@!6sRbE)PP%hvhFoI~aPOMgzV$CJ_sva$ zk2irRS-lDrv&yOxcR=a-itKc8A%kT=lZQNu$ffK-jn39ZTBW+I=L7Tv9yc*FOQ7~+ z(9rdv>unyEK%X=QvH|I(JK*79S<+aY*v={Ezka=cjV%GNRFMj7ryHm=G&VI=T3dtA z1W8!9bA?Vn3hHT!OiW*DA*ArIelOw&-k~MYkl+Xi-7;y;2P}m^;$J1T?()vVvMnVk zotYX@{;%YN7@HCR>q3PKYyZWN5xTXQaTR>Iyx#}tRwzILfsE7u4}_k!hJbNRe=Oao z%-Qn&S&1f>s>#UHKnS+v>f}&4h)pnr(c!0liLFFnaVJNRX0muyk*UC`hUAF?T z5tN;@KqYG~DAzm8-C6p%Mo^Nv>DX zu_7iiG99R`r{M)=4?xp>02E09?d|E4CsUxjM*s@X5}~E!e3;mJOeWC%p$Z4k?Qoqc zk@||1P9$J&ble;RU{t7M?Y!PCunW|U;QaM<@0#t^A!Wf|SrF8Qz%QiHss3)0^0^j{XPY)KycuoN7*yu~+v^9*Mhe^lVyro! zpPutBA*hs?B2a2IhIH>q6}Ml19XNXCXG&Rz{)Z9-#$Y{2ZR-Z{&yqzW?3DfXbNO6$ld`-K&yd&`|E_&n%$Qdd*ng0eu#J0P7PpM^im8iK4$20C-@`PvNjlqC zKylYCqBw4Xlx6}dZpySR;DUsl$Gt3a2uAaB5UeCYZZp^}L&7|$11EhzMT6R%5z3%{ zYiyk0+L>(L*=7)G{Je0CKJeXXxV+oaR6K%ewOlg|ZcER|fEeJ~15%|&iTkv{+T>42 zL3qV{1VaDLBNkub`xu13_+=y6sX>KXlQl z0(sS;{uT2kSe@yhvXTe5F6B}d6^Phe*B`$I=sOi8=Bi!(BE+N)5V-Gokv!s{#SZ$~ zIb71!USeTrVBl}|)UVQeG2L@+IPZ2SE2I;HqCe0q6QI-taELO|lL?rG#bY~l9ta5) zDgTsLa{+{j2Rmh$ZvGuF`#c?RjbGS{Yjz-{%w3btxhf5=q>jmXFQj5?Hywb1NJ)_b zmgTOhAaX9TguF$`1_f>cXOmVUD(PmSqtlenwa#uKeE9)Q~t@=Xoh#Pm%;_yS_jz;N|fk&iz)1zkW- zxa8b2bpZWQ*&1a7gF!l1FWv=7L{L!Beq(9Etl;5GFcUd!Dq95)cDux(fC@q_p@!lD zFhAsfBwrealC5TYpbmgzuQE4rXUH<3MEGkn;;BaR!Kb3Kva-!}0?-Bowa;*(xS)`b zAFLZ_Bs!3|57rSWW&lL+g~KoBtLBxZT*wxN+4mQ@AhMxp{`^3lU|MGI$jXZQ_DZkr z;AfjqP>lxJeNf!b=VtGtm3YHzR#x2Fh`UkyNvq=PaA z8YF&T*fPyb%fjRnTVr9Kt23rhsrCH%FG|KIVRaWSTu_Fk8f{zofcZDVm`Ned0E0n? zh$78ykwa-656ZE?E1;b{z(FgCdL00ygYL4kv;QI=xa|DTwiJ~hvK@v5SiIMH3m&l3 z1{80p9O7*rDTv7qjv*ht()_xDPxBK0YMJTFS;qs+%oTBW_UmmP0y|}@z>)yV{RyiU zmbssoH57pSnNzHjf~;N*rfq?d!^rdll6 z5`)H8YMNMj#KOFgOH2Ol|+GyBmAUuHG2bV=f z-^RB6x$B>uJV0m^Tw!iK!%>%e94rSwx`#*P|7>tz3bAX{f@BI%-~dj9*Jg^o@ygoh z3@BY!x=%*}LxFmv2J^K)EruKi6b2+_uv;q6ZK9RkV$a0>`m2Ag0vOGM@Bg!{2H+OT zp}_y=v%NdO^*%TK$J5bipdy9Hy}6f%_27TD8l9GYpsv{W&z>6ax<)k3|gN9 zlA=+Duas2oxol&i46K(u!}-&_?T`NT7?Vi>Si|{?;8Fi*wJA{z^HRa-#80w_ zA2?B|m6*(LR|Q%#o+(LynO%HG;OSZBeOOxH6joNR+ z?NZ`kOgv@dW;MCmuv@xn+Pjv$fFvkL_Q7ZR{(guj%}V{cVa_(P`hlw1gF82k$7kS= z38*wzM=vFjb+$r@(pFqSXd&D@rWKnbhaAbmv-x5JxrtHiyqk+$VzQA+mcVLCONqm` zUH=UKfSJ-hkP(-`fVM(vw?n5nBCg5Uk<)MjmW1NaCi>c$h4Gn+BXY*ubN6??39ZyD zQ{0hVCXv*BT_QrJQ#v$Dy3XTGZKM(1nMC~IXXf^%kaAr#v^Gzu0lCE0CT-5<_qx_C zdH0bhQOYNzHj*8cP25dYP`cY;Eq|ZzJIKE9PaESbKbiEdAGy2!Q96D+wv^3&ape%< zdUH*tXke?WwuMc&9rx1aUZws49=vLg|FHnuknqIu$V^t>#bphu;Sf)!MkG1nQ+|k* z&54Aw+aCt~-gA&cwx5TY^5xJ+&JpUZBRvL36AtBN$C`vr4~AP3l*Uez21V{)P;Khq zxZ6_4=IJ^*)KUpIV|DrfrxTNcBJ|q)gYIsTdWT^+-s}S~6!a85D0ohfXiI3TvAYH)7H6&pNx(5IG7id*s19CJMp+Or;l;oBzp=zYnDTF z6{~9m8YX@n_8}n*4V?%>n6drhwt@b45_QvHd zJZ@ZQY0YmLxN?o8Q(Z^msW;}glIvGG)h#Z}hn?CqjYJXp#H`FWTc^!*EPhbwTOA1< zr~yNv>LCI6+A*`J$g%uPrzw5Qlf`1!Njxi_uE;T^eVys|hVnnTAXG-ObMY1X8?wf~#zsgw46BF9$1_TN-I7S? zH6%AC&Ul?I(=|k)+El-)T~&A5>|~K?Bi&qBh1F^OUPe=3CT}DAPD)Gh;_DR$%>$nws7i6Jtc()Ts&s#pRmx+U zcPdU0M$J5Zw`y`GU}&mosE0o6Bv<@?buoI5_7O`?TQV(@G3SQio`lQ6SQqDx&2Ibt z#xGw~URkHU`fHQCYZf2dJL1x-j41fPGc?8#W3uGoS~6A>H+99bIh{Tz+AaSid{V2j zzw=XO#mJ<}wWgTS^=!i6BUUaR+IUIB!266oS)IFZYF(tJlxrz2r!U<%S6y&UrTAwY zDe@L<*TH6%%)v%vwi!>*eg0E;xH;GAh6-_Z+l21S+HxCn5xIY2 z47b_%&+HIxbNMPVLObLIgpCN>!)MTyM7+atzMfPK8P;e%V)}@NBNa)SA&3VQ%w>_T z^e3x^yjO?`HJzkbY$)axiC<;lrTQv@rHBUQQ%@E|IGEj;*1oTUH8M=yf**L~qY zCvf#GdHZ@6dGf4y&j~w)mimZ4Fa@7_D~f%Ppwa1E^JyQQ<%iKN0AGsga z)Y6*~;s11GI!zdPzk7j*GbI%{$3NzFzKoQ~D*o>U1kyC!(C#w$0qt>0&TvW-afuH1z1h@^7 zW)pDs!_9JCb+y=!nSF>>xandNHY<=WZqH{YeF(UXVh@bH>< z{4u0(Xw@jM%-P+`)Uy;GI42!pGq-au)a?*_!iU$SO61khma&K6^wRTr)T0*u0_Tjo zScDmz!@7K`=2F4NzkT@JE9;+OgnMP4PIHTjri&w!$601I4WcKPJCged%RYN7eiW+G zYVN+`@X-WgvSKJU)qm~Q?alq%!FifLVj7g_ z?l&~_i*lyoRg^RT`is%0Fs4lBlQhd{((WG4(vWvH=1bJMOY7_p#5N=2E@_?38(iFA zS5kgb&iK?>U48SgO4BsVhC$}9Ypuf2u^U_tGn|XrlfESyz9Wjx-_(6dm5uL)v0^qf zT~uUr*jSfjS3f-Gq7NSxGezie-e^yD)9+)L-eXATUl*z7&T}cdiz08>lE79Pd#$9C z9r3}9Ill8%^am0MqrsIre}BH^F6w4BMQ;ziyPUIWI)?L&eX0OPHVrA5=d4h(^i{T| z=X1Eg^dvv}-M0UPyOIwD%4)}uYDLaPAb z=Sg`{mb>S}S;d|AFhTpWa9_@?&Hsv}!9O|6Ur8NvnTI{CvTw7hgZ;%Q^(nKRLl_FF z5MFP5%>R)q0Gt_19gus#;*f<6XfMU&g@uV>Pxq?1Uop*bJ9aLZP@Cw&Q#<=iT-E$8 z%5w{zKDRmkM0@*&>X1&h?Z{*?`|MC+sxCP(KP|Y~o?6E2JoIEsqNC%Q_Oq-bdH<(Y78QGhKr` zu>vJWxUpO@iQex6isTfk>F(4!1?1tG{8c>m3;mdL*;Zt#){=8uwcsMxh>ew1hSYPf z??oE7O1l%_`G@_5C**39r!4DfrHnT-tKE^JA8J)cyx;ZZ4&Rym`o{0w?-2V>Sc#db z>?g-mnV&3f;P*zzqj&26lsyl2~_ zT*dalP%ZCLJv>9K{KU){Zh1XNr{y}lNQCD*Ju(_+Tg-L`dwsVIiCoBv=K`V*gUh~K z4K-vq|KylapMtM%h|70DX1Lz&&`P3tCD%(Qs|yUP#vu6q#FC5b1NeNmj=FKtOEk95 zfIKHnayz$3qSO{30F)1<0#@U& zMh0c@p-C35ZH_x>eCO5BKdGwT7lH9wpd#)EF?<&vobq-mFqwk$wuv4p#o7Z1Vd3}w z^qH5%b;QHJO}cY@Yp+S62&S)IG$M>BT|`}e5;>+s6gxJZ85?N!ozlFhjecKRcenAG zdC+VM1ct5~_c(a!c_CS}r@P)nNK(n8z6%v+&6Z}Zc@bd+7`ACO!XDn5Q1SZsHh^sM0^5EMx{aJ}HnxF>#7L2E) zl2@U)UpqOVVW!8;aFSKdm|->;a?Hd#xVe2)R1^HjUHy#~Ke#}-Nz91o#k%aBf~5~t zqm{1;2tJFN{36EN*R$+X%M0_5?zSR2EITd^&BPTMz#*l1n33c4vLsKrTK8D8%Cm6IfI%ND%~H~9 zbyok<=)88a!c<4CQv0Ji-?C4hjc@Ay?@SP)cCI1t!G6E@{o~x8-uvBvu^X!<9Lh@Z z?CHk|*F+J^h47NozQ(NF;Eg+jN(%kW40~0}!dvpnnZ)MO)+#Y)v#?Spv$VXcD!6*D zW5l0!wxSN^;?!#o{G(Z0s=Q|;nd(wZ*vUH2(N#}fZEi8+ ziy`@L7IhCia%%ftMIgf&?rKi=7ETp1?3agUoay#7rDzuobV=7yLEIcJUV_gc=Mwhn z-u=vI)w0l){?~lU^Yv*iHKI{k^MRXQqg4d6$M2q&`IN4^tX1=0sz22C_PiL3lT}FA zVe`&=-%ed_+6NsfVPNaATKDikS?GZ~tKt-?plvj)s1p3%;WY)HCOuBLXx6c4x=h46 z7&)i^6^l3&@Ed%xp8*zYWHBTqL}FbgNUv6ZNY54wcG}K#m(GO93Bn8+#*YAW%t@Q{ zCa*RoaAe#~w0m3U*%>a|=)7qCw^=0D(WLwcWQD0%fcOoeY5C-0Gs9g)9k2K1sl0*2 zePr}HEU>?IcKYfEboT1)Ib#{zXLqrIU${^l?gLqO3fEwk=c_aODbd})I>V{V23CEt z{ew~q*mvYo5Ff;ljz=<2_aB^F8j_a(6-(wa5;YQ2SnXQ)m_hGfDJ$MW@++2#)i9>5 z!^Ujd>CbA06wS9v{glsOye0N`8W!_Kl zyyr8FP}5Q3i|=HIUQ~z!As_qY3lpMf?~$XRYL!4BWW$ae`)dZer?aRAp#zp5k-u&r z1DLO`aPB+-#PU6R0+n4S^lsk#0NEALIN|gO9zf2OioJd-ih7rS%Pvx1y%{HXtwV%)~2q24r$FjG|Zrv-C4mh|2Jb0=FdM6f;*DM9gi1+C*~eo4gYZHIZE?j7=5a_42=F?{WX@?X0pB?0%|=BVd}gY7fd zIr1;yg2r~Y7yiYi6TB9t19vU`MWL0d)z`PQ?+$+I=|c09^vCs4GD z{#%%4YBexRkjT9EZyl-es_VoNL#>Q$8cIyz*9Z4ahSLBLG&~%$vTa?X*}}Eq#owkB zxZRrZfw!$Ey5_)N^^hu5Ek|*7sBjNU;+0nRXN=kwq zRhvsw`uwRe#kL6-+o{@X4Z2fhv|QcBd>qBW10zRiv*w_pKCREdI~EM}hc-@o&<_VJ zi<&mGCEDN#sVQ=?x>=qo+X{T#vxpt%8ik4D37al!{=?5KE%R@EWtUq$h6k+nkE$xd z4k*;#X9J(nYhT_7%(mTwXjIJ`1uy3quOHL=mI~6}xM}YXz`Mk1_k2nO%SyASQcRfg zFz<+ck7mH!ISi*=d;e0dZt+$_i|_L%Y$UUx5@}5R=LxOG_5I0NX%$p!r|=DZhVeGG z?0TuwZO`wuZDn`_vexp*qFjNjJ6Se`J^#4*n@DwzbBMk(@GSGHkh3-eTg0Rk}jj+Extcp5)tHJKas*z1|m9o9^<)-?| zwBs?PQmx1K~;8Ponym+*`j9okoMV0^Oow_XMFW8yBf87tgsRO`If^4p0#MV+m-bG z^Ze(Bi-k2fi%k|se9L@TD@xFVCW~AmsmBQmc@&-gX$0lLiRf?JD>l~cZu7=dYOelj zNuJS0Rd&C-$#f|2Wmx)0Gx9GI${QdG@@%|9v4NJ?PZM(wnx76uKyC5*Vamf3Gccq4 z0kg7C$?y8xf}5x7CvBfmC($JiE`>Vtnq3|K*sB)X)Vq`qWt)$vj^WAog?BV5W-wR- zPn(9`LHewV(W3KE{%a=%b{fpbQk(yxi!>_uh{*k837>4#J*dTUu}&kQ<10VExA-z@ zaK#S2R=g^c`l?oDYrWB<++m!5+mt+(j*nUV(`$B!?rC~hexiCSIt|o6m?U-;A`V8( z2E&w8NP)UdqPB^04HpIm|km_MT@plfv193m-KJFG>?vpsFy zDg~_+G!^sOE!$FR2w&g=s)(F`am#KqbXjF7o#*m9JZJJNmOfBJ*!I zM;1Ssp7fe`tk9+Y`HPb^lK$d6DhEybMr8OxDdZvsP=lXL5Xl5$OQuIlwA2=L0s zi>PZ9?|1gAdUFO-&9)smMz5auGDNuX9iFRa<|%R8*1kENLvw+%f6fdes66i_pBcAoK9 z!Rj98e#KhZD6`P2KZFfismOjJ_O8X6?)0dH#~q10uBdjzng?T-tqyN~G+)s5d@1$h zY3<(J?sN80@dvDU(`tE@4!$BxV-HEuc_Q7PH3AClRKjX1mc=VPSmvH!wL{dE4_Fey zm~CWb>%`|D++F`*WjVq7{dB}#>e=|A#Nm4%m5%W3FbEfJHQ-xEi_lWfXC&2THJ_7* z-nl1}OKx4=_6cD!qO6M*4g?qFdIaUnt|Ag80Xp3w(lnLH?_;Aj1hXzH#@z2 z{44$p^~Eh{8NV}jKpK`!mZs1cl-_!L*bPxBc>INDe6O}lM)-E6tr#p8S*A?%i!0xL z7zg$jY7^BLUv6+q=3^}n;V=%chfYC9`&+d9PIyM!0RxTUnlT$lW)7VAFC z@GRx49`P8ix(n~~OANTBYe}-^-+Y~r(U`8&Ne=vaFV40MjqV(*4&liD-n||0)vUP% zpCBJtyiC5!O8mLFTtd!&am+qzlJ8poS@8+R^pBG`L5d%#qRh8nqRGv$s>pZaip~{G z*xy$-=zsslT}&J&>#yp)EIvB_gjFMw%l+A037>1=%v;mB8s+@V0|AwrZ&H1p`Mh;8 zf0%5Uv2ICuxae@rHJ!|Lh9b0u$2}y;I~VfN91lcB8fhor)$MB_#*2k5AMepTl^uS0 zL8-lL5a`@8@xeM}taGCbWp=fp6TaIOi2+|nhJgjFg-{W?U(6ELBw&jpP4U5%C0=$g znS%%p6t-sDsLo|5)f=q|Y99X_FCK%kjL~@l4vvYXq-L5cQ2O`&h!S#D+<#?5p7ipwlM*lhM34GFvPK6Cp&#sq)s$JKe)v zE1CImTUW>bb{nT|_lIzw;a-DsBxk8(moK7VS&VA-iD6h2<-3trKrX(dnuAyUGtjWh zUq)S@#Q%HXVCO?m)PJwWHU38h{0HxU*1do5{O^3`DtJ#BGdYRu*FaQPYk*%z7-~by z3eaCk{BykUKMek3i7Dkglb>9LvT25a2z=VIq+R&Wb*3LT|9dSPkQ~7uwOg;HtxT*l zhBO8@-X6f#%p~QWNSEWM=BB_Cb#LG98#@@9E|90e5s@kj(_ij{ulh_DeIHT`FM);i zJylDN%e?u%R_Ol6N41P6$Tqpaa?`(9w|;gxYdAUQrpY*CDETwn7Y!SltT5b`RT|hZ zYq;V@amw!33gp^G67EsYqe&d8xwwPVOhZ4^5;sIE`4bA5qJz|q1=`b({vew=DOzZd zhAQ^$c}8lts%=A!yL&#< zOIAuX!^{%%bDt1(Ca-E)S~R0S<_#=%jQh+=l!jgGR4D%Dp{NnIc>(mWpV;GfEAyN| zQA8ZtNKH+lZ>)3^3qS0Rod31?L|fiMBZ}0lIA0s65vF;#kB3O7EoAwpu>CRa&(@m@ zM}Ckx+|>w&jFdDs1r4jFpR2A$=1Jp>y4+I-Wwyl*7$5`Z$ zgt1btmK?L@DYJS1_Bjz*Fr1FSmOkgshcfx$_fB(%+9B}gc>3-?chThj{Lc+I|L=Q?{^!nr+3Xwz#gDEG_fzi2sG-Ehzf!P1#nh4?Xe|&<;H3V=jEK@V`k9!UAg z`r2|lA}BRJVg$oirh+Ek^)Wdjq+MsO#T1WdFh{;M;cfTLG65KByC7GHi&psuKL+^I8 zN!rG{@Ah5gSR2To>M-B<)9%f`|LG`i(=KeS>i=Tz&7;};-o0V1j#_k5t+9$Kiniui zX{(`Tq2{WZOKK(r9nflv##A#k2QkJFf>zD*l$cXhf|QsdX78PEtH0kl&spa^>v^Al z-nE`AYmwx(?|tv#+SmSE*XOhSF)mG39ANasWC7Z}e;3ZM+s*yj38zL+N za^H0X!{4-0rDAGTudp`-$M=kc83v+lc14gw(BJw)Z8g^gkp{_*0xu2$Vbzp?Rp z+}>uoY7m4gtUn;jEx~%qSRJmA@)*qZcjBg20`s<<^2%nyzXB>(tD7w!QV7YHLEovM zk0^T3}LI5`OylxUc+{<9U+%Z3RCitK= zX|7*9QWv-|p4zPFt3U4LpL)oEb;dK?Auf-lqG5v~UOcY$p=#He{HaKHyctv2T>Yte z>AM5vm-Ff`-H54y&0S)=_~Y=b(->eJ1U%I9EXRIh-p&oH;`)1o(0fW$F&OC+e?OtQ zE)Ph$MDp-nyB4qK1CY|PfBai+?60tY&y;-@X3!njX;c>^Dk_Rerfs=+=FAlk-D!7! zd@J-|W1!@tGhomSJjMrV@;0Ek0BErEX7BGQpM0y>GWq;d!XYMeAWd2(2%l;hP^k(q z%ncqtzA|~>B&3@1J1nW^+16*}_jomTjYHQrW0~rF1k*$!XaQ-$jZPEtuT>F8;2S`E zD?^6k&vQJ#2c*6g-tz^YySF9G+*aY53;^%`Ngj*$a z^Wv(45u|?nd>NsLhu1H^_M^&p`0&XtOQOf7LWh;_l8k}yXq9&gcM9dJN7xvtqQA=v zQ#cNFiZSgDSTVtT-$cU}lZeS^4h7s41@?FBcmlw5eMEk=RyeL~{P&&3g;v-EGWwTU zF92Y^areHPt#*7v)j0(NJaa9X#duAb!*ZGwoRi}5OiQ78B-@_bjloSz#Mem0W?}Wx zrh(SR>%0liTG;^t)Xfz-+z$QWNV?UHi`m}vvRiKnXCmFo8|QRvsg^a>^266{7)@bb zTBlGBI)i42j*9458-6lAlx{m)t<`^@VenMDg!k)U{QOBnUI)+Vr3#Mdj0vuM55Mlf zjyL*H&aB<*Oz*ZGANj69C*fN$w^ zEq}`CE_?n^9pp8eq==GaAoOJx58Ny@V>t%5B*LH1G5J1J518BE1MJDE}2i>6m^hll3Q6@#l8r7gV1r1+r z%KTvBx9+W>bhsD=VPqeI4G{8ha@Any&O};e3C0F2(nsQIn;j@7wwJc*8upBD@8|C?#0<<_^eEs1SQySM6p#aLcH}&G%I{P>PumP~%8(t@Cyp-vAe|6E z340#=PWRK+hn4~dgT7*`P|9hCPQs>5fzhaLcSq^V$FabK?k|j1M?s{gMaDb~f6jDD zj&-K94C$reLw*dF+3QjD@c+09VNr+Vly{|FWBKZ3|(py+4&h>zDHO~`d8s628PO<@$#x!;leIKEhLrHt; z6HKkc;eTyEHv!D#%JFS6r=Qwn7>?L{j210h-pgm~8pZH9D z0hNVpMx~gqmoyhQ43NuXI0zmXtVBhQqkPrjxwLuKx%{F|lM(|3d3_i+)mXy^%q#XZ z%?lk{ZrBoMd;>-mx>s>?(06FHK3rkd;#;DE5e_$Zjlj~0-8t12u|0t=7a7>rW&tRI z2!O_}14y8Kmj26>*}1ZD^l^)Mo}`KIxNK8E^>?HdhkI}+{3oQ-terZX@*~7k2vl?6 z6n1&1ATl9RlTlzsyc-wSj#5X6elP4=Z+8Z)T17tj!#m`7ibB6^-6}^l1=TG!!gQAa z-Gh3~qI?)-8Z6Wkj-z^Dum$mv!M))=j}CW2@u?k!gRvdBa{UTGAqRL5+Iv)?C8{_s zhN8#=3N@~+AIrF#1T;`^$4E9{i~s;`I?wn*3+SgA1q8nc+xrM;(gCsx0&xikrDHv7)2R8f6nVBN`tJgfK_9WctIzsHbA}7 z-uVOfuF_R|`P7g;;PC-c)Ku{`DjSbk*t7@OsYZSL$mMTBJ51%k0R%um+ANPMw`Pt( z1FA+3|At4Es&ofJEdZdZDSt^4aEbu;2kp060+iR;8AvDchxi7F4OfrE_8fSQ+R1=d z#FR)j8KU#s6r$fKQ8v%Ri2j|5sWn`Gogm*}&v$B2`9#P-Ko{>RNSC^8 zVEotB*SP>TeEW8X&fl`4YysalC<@8W`ons(=3dx1I`itAChe^+-T!Aw!kJ=PtlH8vs<&0Hyuw=Yc}*Ma85J zfek8wXex|T7ccwLth*oe6!uc~f<%(J3<$%$s7HFUy++7v?Q1%1)Wu!BeG+IeHSdSBmmGM;36B+l}2tam6edAQBDX>Bdq@KbTV9yaj1rzfl z1`c>xW%~SL@m}MACX7!Qnsm4{8C?VvMzeW1T=QkjO|U{C!6~ zhRiR_<**FJ?omgEKYP(${r4Toz(CW+`|rR@nJxGS+(nEVzr*;*J8v zeffuZP{4--(rsg4Bv*rdwZ1QQjhr3HtAZIJ=9@&)U`aXAzCjbZfeLZY6DPgt&obi} zJ*Z&kqcjqrAPrNtc*nG-c6H~dwhfR?LdR=VtOHuK1%zEbKkr_xvL2FHpc zM+_yK9K5tEh$Sg|q~|4s8-K>jP_XUn_GAd>7ClS|(Ch>Qnqzl?Zh22#tXd~KLsxR@ z7AFz^UlCZ8f-Z$AP&iihcR|pGUL?+}a$aFodV^2Mm{#f-{|l?06Lzf0(xm9fHK_+WeascZ-kt( zzoQzkGsW4-|GO|iaR7CZqcmB+zoGx4okrPyvu(Io+XO_T44W{CG=Wd}O>*~1IS3jqdtAI)12m)lS};f_*4;Ki2hzk z^WU<(|NqSEK1h}2WSy#rSNZe6fpj^(IN_NyG^_yq{okNMzJK%L0!s`AzQ-E;%ju>8 zdKKUS1m@o$K&*)S2lIwW1#pvb`?N)cpAB}-0oWNJhcNB`)W!xKaB!|m#&tlq z4A2)@v^Y;gyAFg=^tBCI5&!{yKzvLPPz?k0>;SX(`=x#85f|jQ44;0kE-#>7aCYyo z1Q5v8*QSc}x3mB!m!KJvqMtAr_9yGzQR^0~I0$)~zI{oXiS-a2r~o12v2Z{nfhvXp z=*PP0(MSOMMSUd$N9vI%ulS9ilEqnD6>a*2V@3$Jr_O&Xd(NyaqMV(vClvEyOK(G3 z{1m-5fNxflMQMBiD6`#AfhM6uz~73&P;cKLZhqp^Unf}r-gZZq(quG`7tp&ElE)7` zRa{(I&=COvz}pU%!%@cF1Rf-@YF8e3T})u$-Xp+=R58C4PTCxA>ei%WZz?HyZpYxj z_fCC+VB^WOwb>uLq|^w&3`3Xp4;>hxM;mdsw2O~Qu`%pjpm}x;KxYAWo_g4Z_;R)5 znhpN6+j&r*VKpsk!8=fRGbK39HKLTajWk+x>;Ojh^%1`IK+k`>l)7aBb|XiR>24n% z()f?59!z!h(eruZFGjpy_f%XFwtm1Geq=Upe5dzdUqbUM$ep%Q*-4h;F#}ghrPsm4 zs&}U530{b<4Qj?5V5c;mD*qltlTiJiz0-auk#CVL%x*lt1mI=*$qbw_8GIbRcT)nk zMBM0TR;WC8B_mK`-W}RtZ@C$V@G1=*9#zMcK(6?jtHa$J??OT4$S?aolp2zc6Se`x z`MZug==BjBc*dPNqDkr!1t@xcY!d49s7{l@xScLdPvZjw8MJR)+Ywgcq+juWzczAJ zsqpe@a(JA4qRG9rrKDBA8tgDJby^!;zHjyE7`^wsV%v_YA1*VahGNg^ZvsRt5QAIa z_o0oj;M12rOFq%<$W4^ib${wsrT`=Jf2iS0xr6^W4fU@-^C7t!m)JT($8}uejlmaZ z4Rlz3Twz5M202uNOurz-&^Xs`n9^q=_|Ef|twBxB9g*FPW<}E+-uA?BpLGAe)y*pW z?XRP3iNiJK^UPcY>es)^Q+i0e6tZ-oPW9@8UBlzmt0c z;r$u*dP18r_XU(T9D{0c5>8nKplx6^YxxIOax)9GVW86kwYM5cB?v>HlIX~Mz9sc zxve{V7c4|T9<4uL*wdO_#`>aM+-h|P<#_B{*>bnPBOPjNkuewaHjJzH^PuT?^G?&m zr<%XbQ+*~7iAWO({Gq&bD)qs&vX2P0zG40G{azg$H(1qd)hXeqHz~E6 z|FEPy)LO&BVvGflR^)%<^Oc%ivfdd8z|iU>b>xn4siAtlZA+Q9H=Q zL^1!)cil=iG_6eLV2TG=jCQ5D7EH=yZKe$ zs#v6L3(IVg_l+q{L}S-V$={k`18j*cXgYhT3E%nLgQ z27!rU?(zcmPj+}SWrXJx6Ni9r3dVkN6#Zf#TZT?KFS-kN}2k& zUei=J$Woj1%8j+9aX?9VDhAIjXXAA`!VTmL1efBAOh>IIdRH4l?0W(&S)^TR%lF~1 zONBH&S~q8e?y)k%(j(_n@nq+pZ0Jjc(v;J^slF4v>+d)c%-`b@52=XRZTPXbL<}tY zYe3h9Q4FhkO$*I0GE*GW5pxqKxPNs$=v~*cz^OByb~7gp1~X zb8Yrv@R-xfH}js-h;3oHA|amuU+t8-4(T zWo@WiTGHoU$%Vb5nGX)UDE~*RS@(0wyHR4ej@+^rzs{mK0Kd-`P-)Xj!VKtdjQt<)3ZscyF|Q)N^9gndx# z*WM_&GjR=$M?aE{OT^8{ z$0iDs4ba|TL-K;5hU+(e8!ON2@hr>**Foc)HR?hy#~L=>ZkgW_)Xi8r8~ThO{qggM z!ab0P(1V_J(YY=zRcLZSJUao7a+xE>8)cB)U?kFu&2C~Qz)*hP4oIiJX6fW39#1X;4ch zQS~CsrjcMg59V6Pk2l}4U)HZn2HJiAU7T1rQhjgrAwKNhaLwUGud-e%gy+7YI3#LE z--D01#9>=)M}c|skEH(?(gQke9exby$Ll+4DmeAq%&Uc5-a7|av6KH;v1c)&ay0_# zi`Q@WR|!MP9}04ME>|>>>@myfxclXi=ovQ{RQS7j*?B&YBCNbyG;`%Ex}r%%z)~v+W!&8Wk_{DvGK!C5AnaDbXM@fXG|pMyVcw zytYH^WEc2=dlA3^8BtD=PN#*tw=c|3Tp`5t<|-nwHOw5i7T-j!@glDu00tKmzC8*Z z%7fO}a%V1X>OwTU)l~c;Wqo_R!$$Xf?W&Rk>OF)Ck;0}Z4~2o+O#_c%QA2gtf_i$r z$cqz)O0{MeV)K;OnMm5O))2XYc#0N@tGQimE%wjypk!3? z6@LvU0SJ+4Uj%+1($|og9F{OvUT=H9UfAPUH;h#M|{s=WYWWkD+I0*?9<6j5`^Tmyyps zTOCN^{*eG*vA?uTj9Xdn;*9~g$c)|0D|Wexn;F;1iPACM+a?87TMFBZo!d{+F4j`u z_dN<{o@MSjC$6@i0xKuJfDx<7SVc3YHY|6D!53Ri-+V4pZOgMzKYc+VSnDHODHo(K zy(P$DeB4+B*IL!JIyPn^&&Ovsm3(4XV(bzlF=MfS;xIMynYRw`#?s?_jpvrXB$J}S zL5caFw9@69c8dg(BGXaNt=E^5DVRJrVC8lVYPX#4%ZoNdtt3-QM=gCpVc4hLsDuWV z++yQgkcyS;Kg}O_yN~LRy$$7}wm$&Ng^aW2A7;`76mt9e`^kV5p2H6>+-zrU@~K7{ zd1k9?F1%cNmoPKFxx?F1@j8pyewrZ z%yrq1UBl)u(CKuIJ~#_)K={`Ht8_y)KjO=Y&SaNZ2)USt|6Z}khdz_zEV-z#`E23t z*~sh?m46m1I!<|dzeZy(a?a-_`Aq3%-`QxbO78yz+_ZM%H!DAJ;Lcem7d;1k=J^@LIXKZ^;urh0F@iE##pw>w$-b z23@uWwK*S2zIaZz1V8mK>`$r>)vUcP@44cyn2+Nzd}mD{u8a{nLYc)^mUcNPA_=RH zI>}8TA5cpl$@6=YdGo%{kjF3?zq%tr7qv12fV(Wpr0Eb8{Qh`yRaI?{xY+v=CdW~m(I@=MQqNZ zbj73cuMQyy`=KZwG|tNGhu_gUS%Tx*w`n>ut7kQvQGs+oLS7E{99{0P8b!gQ&LLng z)TWJTM*w_WAt|dO=Gt6K7s!ODo7H8ARczWzIs!uB>#KshUf8r{A7xpe{9mn-c)A z4n^mEH*_`FGnYzJN1o}(%|asd#?w=3ROYe+K0@R(-^pI-ikX%wC_BZ>q>rf;2#H#> z(A^o=t6T5DO`VSsgniG8-+lgNlvmd1ONOnuE!QJ(d06!tR#7$Q-dora-LmDvfIe0e z6XIMzZAS9m)|EdS*6U!PV|JOuH>SPh1D~A9Nu8fTW0C>lY|!-~TPKU~kh5EAx`00n zF6b{BP{Hr0FTSyF~!SRcfl5Qrsy$ zeC{dKQ=_vZatC|sKsq4V?%*;Snmt9|eNIj=jIfXIZoR1!dGU+G^>YvJ#OA#7zqA1u_KG*y@Zj_C(jy(?hiDj?4olOOPcJ&g)cWoz$@{tljHPh0CxY7SbPx8f` zd9iHriO-FHPtc{Q1|o;Ya!+#0=7*f&#U3P`(G1al5xM!G6Wvqz{wD*%aQnMhcGSnQ zG$ZD%f&&l>IP^KbVQN`>aJC$q3_by8H*Cu*F8bHR#xdAIfj60I5iqO^IR%F<1S_u9BK)o}B+8@>u1C#e`(>x-oSHtn*tkCx4*b%>#Fy#cp54*woSDd9Wh(p? z2=I=Kj`D&&eE5J(GtbP-1jdZ#U~g|)SQrCP5^#u-sX~gDLW+p@LCEl?caZbRS$7%n zr!8lIjAkk@^Q}m!Wwf`Ks}8UA_nhQgJZDy#8XJ!)URyi*3rK%ey7>!m6ng*u#tm9;Cuveoan;O@Tw*S|_0rQm&s#;>5D zFtl|!5R>?9soewsFX{Amus{`9Rd*~jF8g!+4dQ=`=$|r;zrCY8F7;y{G1EdFB|ycA zVl=m20uv#vXBXzhwyPhT;#2#t*>&I4e`a&UWle9>ul74W{LnWJ0PD;;TvsE%H>H2T z*;hI(E8oQ%zAu#~a%KwXGuA0)s%AX(btRBG(K;uWy*K!2{(T;|PblWh|1ind;{g@^ z3eX~P?A^84!eF`XK8Gf%Q|sW&A>Ar-0Q=G!?*Uw$%-($@pwbVtU1OsT6~*-Rt>(!s zF7A~X$OA%@KwR?6eDp5K-fUF$buDZu6QAed#5o6iV)S?7(;O3fY4JD$N?GE=s=PVp zcmTB0`~r5(mojqJ^tGXiJ3a15Gbl* z6S6fI?hIsk?MwiVgaIH&n(u<1c8x0NMI=h*!t}B*L;j!&PA&s=JfD`&el!og7;iZE zR9-lDF3!))>jT+^4*7e?*3aC}PUHi{!^kKYT>wR5Ut{03HxueLWi#%*s)4nnnPvJS z5}4D;A*q$u7r-* z5$U6!Fp_VzJJmB9KEI8-Fu%CJrEN}34Wf(_#0l|!^6SkF*tA6-hCJ(bBpSR2OBTg%MA+^UA7aYk=FCaO=m zi!M{ZsI=^*zmJ!&gHDw78S6$F- z450aloyj|k`QdwfPbZ+`TfH1Gt~plx4xtNy7uhqkc%b{k8aiju;RA_vm><=ePu_+9 zjBv{#SMjJSe;=}^B^);z^+lL@=%a6_N2<{FD7~Bdp02I9JG^SV9h*LLMD!<`=(Mmg zwYt?<$2^aAqysQOh>Ds-Qyv%9ucj~dHnHV`{LYJVJw`YxTGM8*;pPbRmYkkkr7L2XFS(orj)bB$|n z>Y7+{>pR6!?7sPg80gQ&tCG>NoK*}eCWg7EuF|j4_lk@=rTj`?>U-4d&&e&gh zg@E(W13C84{BXTOt;@ephdrzoN&r^7w>^J#+)eXkqQv&eL9}y_gwHwm{yMG2kr|oyhC%^8THRx- zS@C{cA&O9qx}8p62bmwyKL^wH0qb^D^C4+aE)$QGiMxU#ZY}z3#%@`6hK#snR0~QW3bbzYh&U?fzq=gj8}5e~?3T|^ zt;1scM0yr*W>5XRjbfbZmaH(8+G!}mGn_A{StubnSuxne@Bfe7^A zNzofvTZfJQ=C)+k4Y{fKiamQ-rr&v9kLyD(P+>GFre_!PXf8$6_^yr3WEx*&F5xQV z{u&-Dm3<-psJgCcdZ=WqgU66fi7me%ESck01GmW%EMKEAKp?ZDC))B*PR3b1j})W9 zjV2Q?)M^;E^`#0f*XeLFcQ)EI{w76X*V!j}Vxu9cjYA-}>W*wjTPN^nrwnw~ul2Z& zpb3kgehtT8vF}GKCTvsu5g*zWqP8j-p9lJ`8W*fria9~=dk>A*=oIb`3(_ZL9Nh<7 zno{1mG4=g4fk#1oThKM&O#JQ*GkBQ?>5k~#)B3q>C+^TjXK+nE5hD_pFTH@QWQwkp z@^SS2n2vEPdp1C1tRWjn%FRg3O)FY+r}Ia4bl)&7XU%6trLhMni%xqwn+A zsFm~at1;9vbm^>YPNu^%v?z{_LvrtmuM|PoIa6qj z5Q0*LBNOvM1W)|!k=@u2&`km*=W)#0AFzE%dMrQY-4mD|q*kjUfMg0=?xowEL2irj zjrOT+m%eJMt>}ahncX@a`NzGV3}X2v>nFl9SG(!$^~UmJB4Che{YHT^*x;^HyaW?&fEt>6ggf= zmay%P;T>S8?d9q@w$+Q0$taEXOY0SuS)-?g)QIEqjemzmE>#|$B+W*x0;+9^=cucV z@Uw8ds7L(eEj73mCHww!-zIM%c4n3_oB7S3y<5RNRg^i&ncm^48GG=S7Ww`N_zNZw zzqg}qb#sUjnkt%S69UL>ygx!rjZd!A0_;IE%PNrG|Dgg=wy}BDnsRO)tq9d3EyQFT z;a$HK;bd0PG~`BMX-}?(^TY~QK@sq^T&%N$gy1WYJ`G%m;W5>QYU_d+j*r(mJBXWft3h{=LD-{${eyreARTiC-d#Y0Vbmf>E^L&g<`-w&k8OPS&Dt zm<=1}S-f8C_j_Dm9-!XVb;9gb1h#7wI~&&%({+ejcrc^qV$a!`qYdLujvc#j`rONU zD#ii{1u5I#dqU~tS9Ko9I`H%4ODGdKU@N)3pNDrwXycPl;v1mfW>0lI-(<_&S7f%^ z%yWEIkd%O{YiTr(0(;(Kjk3e_-znSEWT?m5tj>4|g%N?? zxJbM(9k2u^_ka>$U&7sqaoNOo4GB@(E?yol6xjFIDP(-Q@voA9q; zkZHR)FWvV_QXR1lJ4CmwMnz>`6|J6zeS%sh{ig1R0AKSusUVZW`^No?-gua~q~cm~ z)7}!7ykC;I%bEi*JqT*|YP#rYxp1wPo~mCK%4_`m#g?Ny-Ic20-PI3-Jrq^r5h1ip z;Zz?W%e8>RCp{T9Gmji>hG#U4lr7nAb@CAez$p%teW5-x*R=| z909XubnKT`?1${}xhp?j&~%2G=^eJ%wjFWrhHZ83yN}a)f2~n%FqYt@!YnLhaW4GmZe7+X)KK)g1yqbt5{`P_|?W`zzgG4^; zdGYe_v`oA53x|y;);s^N$c0$ZD+|zsm5ju%V}s^W*W`LUApHXx0a3)newk7F4a|!F zs*KR7gze07*jm)$F8+vg!yf+Wm1A`_Z?+W2kEFua=6s=+y@Ciw1p(4!TZcZ1jUf3! zw7EZySMy_I|4o(Yn%UIFtDpQ%eqFW5&J$bNlk(axgAmF8@LtypzOrV$+a#3kor z0_yY|4iC01+BiX%#WA&$DyU0!CYcY?kR(wIX@nX}qR)+Y8*>v1mfAvHRA3;HWn-d0!eRkqVB$wsP+Y|c3P$YJ$a3bf{ z*%)*H8`hWcMvqlMt&*ZInZxX|rL655?ZK{i?GONt1@N)%tRRk`5pT9XDYK9$>dOe@ zhNBwm(Y17}o?2ca3HL)OLiz^e|;CXR!yFMWTmOOj$x#!&6}wT3(`%UQwP zO!M~rUtry?XTak4=XLDOp|eRef$~-Et!7Nnse%_e`!g(fBQN^$zeM)|yQCdT0JJJ-z`Dz`-s4t8M+`2pRb< zYx&pLi#-o6`zO!o&ismKcLj%X)T7^V9N^2xl7Nov6_3>x5EWRV;+Shvv010^F<*SxT)W?U536*)a3KsK76YKfO}-}j~_bi=U-<5fRN^ehMb(c55-kI z?V5YFrk6P@G!NkM)5^;(D(;}KRn&hMejueP9QzJH)r$WkehUEfW*+YDIqB&tKyl6C zoUz@6$ZoGa9hHNe4$ zU&4WX`8I&UoH^|a{Pm}q%8$G>Km5<+IzR`hK&Ga|hP4;uPg4TF{--F=|CcNOfWnVO z*x8%frIro`tI{(-z{zs|=wpk8g#~yh5I6HenVaGpU$?8v4>%SA8 zOZ|K~co4r|XVf*_)GoKOQ$P0bJwLs= z`IFLr@!T6~G>1NDkurHG5rkth8@5fPy|OpE^L#&(!1JzZjZX@|N2HQZbuIly)L{ezrFq4Wxap z*=2Rh+=G|>N|$mPC-oG!G!#j7+Lzsp^WgG*{OA5fvA*+(Tjc2!e&A$oprKq`2KEkl z_D@U*gB+ec18kXqkkE%vi^oOA>pDQ>-~?>@$0scW#Kmq{b;s@i2c=n8Mjtw@YeM-i z!zns*zCZq>ZTfR>;Mf27)TP~@NgAwC3VSJK6;;Cku!`yIL{F8Qpenb#uw4JZi-0|g zlH)AYY1CSYPDsi-Zdh&{a{NsaqOA+uMcx$f_bX-C$e)7!l+9R(&J<|t1Z#R`#^+DH zQp=ma_)~ySR_h)`2gc*UX=*YJY3N3Xbr?;5_c;}1n z>D_li4TXpny^)GOcUgU_!wLhleM%9`s&2P>#~5EM350qmOry;qS5CaUCbiIx z8BX#y!HZPPX8H=E5W}#qxRvOY%E7W_d-+Q5aF2{U4s*zHhk#7@NRq>5pG=V}Ut9 zmXnk;K~_I`s^^|CG0@#QOyyJ;<4${a*wW;4e>bruytDg8f$FhOF%@78pj4e#B4%Id zv6NS?$&cA8D{;#u-iJzuHaJ;4Cms z`#{T6??&=AQOD!?yu_m8Xy^Uke5I+J02(LU(;-@w<)cq5B37t(7kAC*+UW~Z(RF@r z9g?ez=9YEUr;r>kRmdw)$HA~I7`!QWNfD6lu2IU3x%^5Uew)+ebG%^yGR{^#dFvYL zQTE-uV%^5PW}sn~#MLnccSTY6Ny+dC*P0cJ>)KoMjkMo2ICr_p<-CY0ryBA<%jUO? z+J81HTc-dtJ+kDxGXEVoL$x@e5jN9M0Grvkhj)1$@G{I1_S~E>rMUO>NG)W4ZuNVy zA%&H{(070Gd+`rN6HUqbU*-TVC8ky}c2j2=`^EqE4qiJ({ENDKOrt-oc{R!Y)rd zF-gql^SLB!I<5A~UF$U*QHZQ&opIM&QZwK|Ti@;r2QYC6XFY3;-m%C(zMYlp|3S~?jHV*QDk)qa_9F?rTBu$xupil8S*Bf5=LJde9-9|cFL`zq42op7f)QJCXwQl;IP z#~WmD!X&RyCGQ2Rph}nJ+_f|7J}-(528FJJ3o=IF=L?(Y^VG^sQ(U_CeEuQ56rFP1 z*zU>#fC8v(|1rRu+XX@^^>1Y@)LcL-Z2ft8!Ph7A-8!4kj8{*88cVi`T0gs(7R(=OxY@AH6f`v_>rb$M46L8r$a@QgbMx?{nPw_#O^M=-koeP z#U(WvyQ8xIl4-=8QWi>>;RnpiCZ+cC!f{!xerr-IhlxLj?rvX&htiZsCpi7RiiNXI zBe|-rYR}$@(TR3@`Xcx#5R_XK99f8TUuGK*pq$RUc8{5D0cn;G<(&_{p}sK#*s;Oz zoS(;in#dD-vI{5JD~??su4+p%$tY=aa#+oEBlZ8f8Z8Ox6OP6^&8yu7g%#W z2~p%u5wFFa0^{bfi}O#c%omdo(CkucFMUU5{=nO~ybP>sr@Uz)&j%?C7)4>(o}T$R zksC@*O5q&D_&g1t=MZ5)7B0^|OB+ogj+Q60Z*zV3u=-%1V^i3n0pOg4>TYO?I*(5B2IrV5&3Mdd+n4!qi1zdGRn<$l`PS^t8Z;nZsC${ZWJf z8(-$docZD#MyGnJV>5blb=BXwbe9$Q8BbfOcNp|c3#gf;^9q`X?~L3NNVsNi{MJZk z6oGCQh&FX7|G<#PHj#^f%O^QysyFBC6xVmZOhTZ=f3B(l@33m({Ghn-%a(f`eM_mb z9rJxlIH)J`>;tb}@|LmM){-1`#ku+Bb#R^6n5W~Te};2gTrvpA1I1GGAd)Rorp znVu0*W$riLRqLDjmEUZog+VUyY?h>nu9%*6kH@>LBeNj=i9~+2GKSz~#Pn3BK%G}{ zys}DYmZAR2nvFR7vf2t_;T4m><{%yWiMVs97!8E|lEb$S>3FsWS2R;{I_%%VZA<6p zWnZyTX2gwo`KMwovy9@}T0|;xoTs_?7i=`@q};zp%royk;w^OQUzaF!X_;E!D!Szz zR)(krJatu6oud~TNm?`v1?yJpRfm7V^#z&GYwb!sgXnjEgc*a2wXONQg@8f0NDiM> zt%K^ZDk?lJ?^|y>?_#-b=R4hxrl91TYD6fx>$&)#kae!FxULgGQtmj)%*!OtnCAnC zfw2l*JrM}jibc%RmX5E-ZkNqhysO5j?t%qYNp-aW$*v-X z_^;*=c(rwDvT;r3sIOQbrV8U6G;fT7XM+c=we0NkmPZN#tV(-bhcNe;RylOYVO=B- zlU18&Jga@({3MHla^Iqm!z|LmrJ_($ul?enBxvjYlh@iq-WnI{%Bohy?I(wIa(`^5 zZC_2m$?j_keXxlftsTN>4wA~+xC=dT3Tc4f(#G97zL7PrB4aVA07f9{w|vGNycdiH z?>$QSRto2F(os=~mEHUH8r*SgqN4{9OkXV~Dstx6HGWYMb$Zrv57?{5lPvxVpCb%f z3r0p4(5z0#S6}9`g&a<>;xktyJ0u@xFy&l3b6?U~$I0P^>*17G36*=fFgt5`p)+bB zzh238%H--fp)O1DS!*KCXGC980VTHF;e7`um>}lLIn-H<=X}Y0WTv|zNr=yY7J?@|21{v;w zlctW~wBoF}py@A!UnK$0Dku#KPLFCdICvellBQ=oj?^j$7D`}AIyNpr4l!|Va@7M* zYR{( z2IZtptayDC=#P|P3JUFKFGTN6@-u}+T~O4#*PVdpa~o&OH_8Wd@OyZ^T}GQ5WcGF3 zZ7o%2ov650Cv0}xDoj`&7AxRPGJczvYz}!LFgj|X(=eAFCAnIHwDj($!wh_n?y6O$ zC|cECiw*H-1O}kn2jic*&=;F5Mh0mm!|6QieSP$25tUkMpKTPhGgoSOrfe-NtCB_7 z_;SI=mGuTTZngR5sEN1dxd#9TCiK6E&^&Rd)v!~?2Cj;Fw^D7eN@?@PyoN#g>0UYx zTz!(=wt?yCkVHM;DBbZ4xl1$0~7?#(MvZ6(dEZ!EtfGi{y7;*tg6%w=BEY9z8ggiIt75AOxK~|ET@@ z+ejAMU#c?hQTM~k!c=pel47uECPnG59H}5Zu~mWCfl6gopp%~s2HV(wE6dw1V=Q|5 z8j@!|!k=lHJ%>k?1vxwRJA<}x{B4(pVeNL5W}?1_#mALG$(Ju`vMU~CuL*~eH9Ac) zKDVa-bcX6_30LY>mEI^QV=QOkGFhc#+OMyPxkuCla=V(h(=?8+tM@T&O@Kk6q|C1} z{;n^aH*uEm{+z`;BXi{c)82cBHPx+o!&p(O4QUE0BGN>qNk^)H^xj3Jm(Y6xh!m+x zl`bVhLJ1vdK}A4H=)L#eTYwPwHqGZe=bV{2XJ)>6=X&3hKjcc>+1Y!owby;G`&ZU1 zeT^E(EQ-w~E|rhl$|{i`F5A)b5mPXV1&ghuSW{fJ(HqnSrETJzhv!^gp!mtR1%_+KA`RlESZ8dWIhYB#>_7cKAXJpvh`A0YEo5M!PKG!m{#Jz z#ru)89X%vH^@%FO;93ly-M5~_@>!I^B&weM+$KQX!gT;TT5rLb76u z8%ig>yT{j8AsqU^bgD2V(6ycGCCo%@6E^)$;~{ziPdgzY{pU};nr7tk1JQJaNVZMG zK`V)5`HI1IS4B5VXPM*}UUnKOydue^V0j4v))wSfDJRHTisE#YakgD8^2LuC-S5h0 zM~Mv7rg00hTSGhVf_&7ipaw!CL9Ct}El{{=xDQ>(lRm(?+5H`->PEn~<}BKpgcj)t zhLDb;Ba+SQ7kBn=~!QvZodw5|)MoqoK;ak=$O zB6(9+CjRhvv3*cN+(DcvSbcZXOiF3p#k(GKx!_sQ#D@VxZ7#fr^^sYWduuW zsF9@7r;o+}%YV^u9EET6lk&{#Idi@p8)No~(59QPn-+e#*P9=2EPq;sMrHDkrm|Jjtd6W z8#U|W%b-+|si9n1BFq^W5yPP}_Z?c3fK;I?MOGoS-zas-NGWMnEi0it?Zs{+s|_1} zZF-!|f~^sSyHpf^MrHZ*k(ln<#Nj2*Qasq&cENw=);y4DcfhaAGBg0qvvJC^W?|2A z6DDN-sKG~Pws9e}K(vq%P5vCQ{Gq6u(i83X$O7YB@s(IEaT5S|9XR80Kn+fpf)vLC*&RV|6^F#^FlBcy@|m2y>yL;`9%bb`u^0}z1sAV~ z+91Y8EUGLYSa`7Wo4Tar*#>EL&wOuzPp8UD61{6Mxz3&sQ(y-QNmKg`%B@8%!7=jQ zL(V!hY{V)YheRPk0?PQ%aB5f~`FAG{0 zv|`;OC*|a-FmGn_V6H9jz1Rx)UIe@~6Lh0SCNX8h2{u~j{k?v41;ZJxxx{iGsskf1 zgF--vVvmXU^<*^kZQX9Gou#y*ZQoHYD_bqDyeoVZUp6uuZm=LI7?zcmGPNcf8IG$?6 zyE)H^Fdi=6>6KUJ>*|`6A>M&-4cpO-ASs8(YN4YUu#4QBCqs-e`h^8O5@#ZE+$VPWLMkfz1?r_Sx->bNMd>vGFRxJZi4 z`i5Tpub8wwKP->7A$xlGGq-ZXA^9(PZ&yDu@|Rs5IJfa7!`0Z6=VjOz?WAoQOo!cl zdCoVYaDt_3+&7lqGk!>)rrHMe9KXs;xpl4hll&SVW6z$U(5!EtOGPYqIw zP0p58)hf7c zLpRC<(&ZF%n*!FEAMVuIyqV}ID_>(}%gZmX&k~)~W^~iUro%htef`67n(aQ>Tl_lC z#EtDQ=LV7g=pbs8!lqT_nqXw!YrzvRpi*i&IEQH>5m~TB+Dx*C;OQycAtMp=w;IaDpI=N$k1K5mb$_^P ziqzKFrN&oYj83A{MFL#CUtta}HY;~?>nRl24<@fk2Y29dscbf2S4b!tyZhB(aiQ#z z30t-iBszu*@q8Z&v)jXp1=51_@svoqbjn!}oa;t)3Dyj|sN`%{H)0iW2h&+F6mHq1 zpq|=tL|XPBvzColtVHgyo&vW^8Q53`kFf6JiuD3!NDE-rw~~yV5o{it*z>U;9%=!$ z+8&#n%PR)`qWQ7^F?c&a+^VZY*LjAL4^f10(PXCkDsJh%UVZ>L?S((JjJC!D41}0t zmD)!-{i1DME+@T4eJiDQ;rxZ*Gzffpzc3Rb;+%icMoK-Oa4W0XBt_hxnuoznc9y?l zD3opM$6=m5S?pV6O_kZmF>WiRJjg`Pu1>d$JVE+iJtj*(lwNp9MGdKE#Y|QxkAm69 zSeIHtC#96)daI~DWA8fq)JL++R*XHJBFMxfIeP86_{z$Uo@3?ize#Mj`d%_#>oZ*? z$OPJ7+uh&8MawW(q`dWNQelmjRY~KP2K|Yt#80Y2K0Vut1|Kp1$F3Vk88HsdMF!y0 zE%6MallQ5alhbQx&WNoVL_Xo)Y%>i7^{NYMN|EwLu zrY5j^R5Ods$w~Z_0pKEhmpKu@2}fD3R2^cL{s94D?XyZ##>Fa2{)*rLuliHC%kOTj zn*uoC5E(jzmjJqb1=y495P-Se<%M&RzjBxb;O8T{Gp4E(28Tr0u~qblVeV5$zQ<%G zW2t~RBb=)*E1Z=!szG!czenxQgmD1g%;x3>meH+u{}L6u5OO?q13idnVLlTtljcJ} zE(BN{19}%vvYVHjdAPYJ(3n4vL!a|PLtnps9jSeX^Z)}*bjhdU512~x>~j`R04D!) z#{-~wUfGFQ|FCub)7EhRxVc^&Af~ZXBR-oG6-+d4aBG|8v}-w@-3rb*IGcm`8_+c# z0A0^hLn;NfpPU^0YQ^>#WDW?xhrGlg=pp^iawX;LT}1PA`|5b@Aquy?bLmu!ap&TB zA)T~#`m}b~U16VJvv${xeO`V({3kn)7C6J#ug~U{j!a&Deik${3aL%0q?&61QTopH zSwp1BdXw7Yx_VD8)8qThC)q=JPDI(*#&`kEZqsAmvGH-Qti&@t4RseQ%O}s}zyzy7 zz_`)oX+i|P`As_TqfO(20-B`5j{(qeZO3g5V}gJA=aI*Y5E^X(Ac)t+6n=ZWmqtJ} zg64;hEd&pTWBjk8O1n|~J&8j=uxQC~Mr}e*EpCcUBe}8k1K%mS-_yWnFN57(YYzW+ zIRlT?m@yA!HkkokgmoibXYsRw1sVw3De#ZudUp`#A}kAY`~OE#1ON$0QXk0n^$(ce zo&%&2hJ)7qSsGecp7|>{8~%W-%>(g%dYm1;ErGNFAhwZumH8E%Tt#Id6D{G_tquWo zok_GWM*xBGjw)Age8~Q8Uq7(8-~o-ucN)iY$&s5~Uv#m9R79BO5gpx_2Lk0h4Hgd# zx0NH?_uF0=Py)_HxLH_}-8cgTr<88tY4w z=hbG$lP>Gg-S#N&+gD1k$&)I~MR9it^zD}^IUkj}6{!GyMB2W|q~SC?bLoS9x@&^4 zsk3{~A^rz&(IUbsmWM_nhZ&0PAKyb1v1n&L2x@E0v<7gomMld`tqfGEiWJTT)Wn*p;tI<)?OP%1C#bYIwr&YGFmC z2+*?}FKY^L_U5rsA=#zfYlr2k8J5H3y#6gd^gOUI?202rM-vxsMURt$Yp?EK=FZ;y z?i?R-upM@F8;MP8_Nvtx1f`ZQVST-7{SVB!266ITQL(0N4+m|kM5;A$F?B2MjPjdn zrhMv;k<-)Lui{N(p&hZ=?a(w$+%irM8mZYZkV-Fp2;3_0P>CU}afF~wJ!I|WChJcw zp?)BpkS>z8IfE0e3^@OR_1AN%Pb`?2iRWMPzEGuZd@{@ z)4{=b6Dy-^5CvB$Q-YXHvx`Dxjwa3(`&^&OW%IsQ@yP(Pe&>+5e^k#~hu(;~-~6Pa z)YR`<6L+^8L2HF(aNQ!;7gbfNd^d%-xWjg89}A)u2Xel*wOTSXY!1&Vd!5bwChg8i z^c!|&I!KwYZdA13bWl7sn1&hex5F{dgp*EK2bS0Icr-<#U) zdMgWRN9I4wMIp1!Q6S8+DGYAy+5|9UHv<#{Su;%3UB$|QWPe~m+z1ve1BX6JNWm;8 zBz2@-G8nkJ@Eg1PI{SC9JEK2gcc9)Q?Cz;>_6iPD3?Roa>)fhWKqZ>#1Z>`ViYU%g z5-ssGD^Vn2M4!(HJl7qgt5=Y3nf?$jfpIJ$6TnR>{OtrL7?!uvlq)N3RhrF=f)5tB zn3)+BEFBW2R4wI&MLz=5S%hj{HtP-EuhLS>j7kY54m$$5neh?bwyz_)voIak47^Pb zyL9Nbaj#Z(@*vd3${@o>x9o*M`+aFfd1XRF(Hg%N5tOCmJi>3BsRXGei|`Jd6ew#?w}d1K z&Qhc$lis9fjk&kn>B`pUwx4HGrnKKfQD{=W78PauB{dpqSm@Ma8=3LKbNZNjqMO#T zf)4JtB*b?g?k#xE)y{gTZ8{Xl(ODY%Ub|n?e@nwv%y@#7rJFwyFKU~qmX=;7jAmi5 zzxP@nk|@(%n3C^(eJrc!`>yYgbqd|e)hE%9R1}TNM*aab>>+{|ocuJ6Rx$wv&sZkd z8i?&Sjz|sEG&DBXWt0U*LTQ9=YC$YJcC5uy7_PgaA5mT;-QQncb2p^8`&)}`s`6%G zNIEYZYg^WC4|c3n$OPCGec+$vk&l3S`&=ypY!G&n^#=M@Z<;a*zOuvH?zVC4h^-l> z1{Hd3Gl(_Q>q`#ixlOTomtsJ%U763-Zc8+`a%DS1NO_+&<{gz*FGI+E$MIM=C~{&b z+21)N-KF+!epa!n1u9k<0!qb(`;QcbR-rrEj{!V8;^x$xj?|7k?&Q0*lR7a(_)}p6me}q*D}S+H89w%6BV=E@;6nP+?f4B| z&AkThLsUz?MG^QBtc<#}_Edzji79oY??QYfn?9vYM={Hz!t&WwLZ{mW1^fH^F5EYr zI;YIgEcJ8=@xz8s_nC}B22p_oZWmJ*Lr6Gx+0U=bk;*VOR{6DsHXn3W9YQLq@l%SF z>@d{7ABgc zxX4Cf^1{@?7ER2=i#6dYpJUoGbLI)oce^_Js=k{Z(17{8s$PY?;x%#^!9RW^&jqvp z1yJbA6L@8AgXluai^^OU5S{xSYL3IQxorga7Dt`Kz&vTjuAfx zWsR#hIhdN`FyKo>R%Xpvp$;!sFEP9`C>%R|h=25_aOy>Nlltr8Jf$Ds;|E6--25BQd;BkyYSc*6XzXgM3v?FqT_W7HO{X5SJ?Cf(DVV z8K%6-$XJo0@IM&++Fp`3WUP*-jG8bonWCn_*S9w;z4}s#&QrozF%wtO1bIn(AjZIHWj#2p^%2S z6dsJ%5~%z8sx*fRp)Y3ZT<7frxNJS_gtAoE38EBPg|^NTEj16;;?43)qApo1n(LV5 z0B)U!FS3VXX{qUk%C`>@q#s@K_#O!LIK_~qXNKpEhQnLOc6LFgtHk0atHjsYB}0iY z8?U$NLZNypH0Q?kHv@ymBo80_t?=}bV`)DV~$bvAodJS zQYIBIaY>|uPn$18`K0-Ka{jDG?3#5x=OqCy(c&^qF&R;*lh0aP>L6o6*ZTb6Q4TB= zDovAG4=^7;*2ms(&=zCVl;}$<9R@|FmECM5)rC&lK$M@{^(mf5Ra7XEZ2AVW65H3&O2E|X%X(

g-Ztc&$eF1}&n2S&+{P@f*wG0M*HH@Et`EV^(w?B0UbN)aNM z2~>!H{jVMt59k7Dp#piA{hgn}>`a^9^pBpmfikUcThEC=ug!a1YgtrzMN_Iq1L5 zkiaWhRi^Xu23lC)J} zR@=;!thWa~<|ZTXjTZoTOWtvG%u;CIIF>z%szkay4WU}@W^%WtJNis=7V$3q*E-+5 zD+YkT8*BEO+5Nk5SG!JF^4~@di)W+#ptEEvdyvX<9Yin{AKZ1APdvoXflzuGHlN+G zqO{V0t{%2$V%ob6Z*SfedoeTr5xwrU<|A|2zNT0584a(*{EA!l77H?bopQL#WL3Vp z7W<$rMyzAQ-~VRj2gj*Q>8HrZo7#7&a5k7^nm}skMM6SAm7+;a$il5JWaX3cWppGgThCAQV zU4ojw3QI+@$Xgo%VHKmeMi9ZQ+vX~2);K$keeC9sNBt=&a8!(E;S3AEJS+@WuVL8hFwLpDUIq=CDQ z{>np9%Et4~oq78td^=&{1-VBqJu#daF0Jt{Huh|!?N!*7$(t2+AgBs^nJbo`=n_?N z3r*6QS5U=k|m1<`;$V8$j_=bBl0$AZYYg&{!QNSAun9_iI_n{ zRC34c=(?6t^Y_7&sZ2zswBb5M zB4}M6x%R^X4N`<1picoD7^t->%iUM9XyFWpj^!{m8SjHb(D{O7VI!GVX!uUgah-%$ zbFG6DR?SVT5fs6o!zUxk@(!UsXF(eSV|OWjGBI*_mO%JWpYdf#B{^C;0?swNPRv_Z zcW#sYXc&_FeS}vHdwugF?l<#qj7Zy4{#v@#BG_18^CM< zAhf%H38BYzM`ZX|=)_?yn@}D|31dR;mO3^(DdDT#n5);1l=Tl|eTG=K)+k>c|8><} zW#v;e#ZlaI!byi%m=3kD$ z73{tbEcI2xRe|+N-n&?&aGws=PZILMNNahqvOT!P+RP(7K4YLnlp$l_3r8Y1IugYp zL}3CfV}q_VZj>TJ-Lm?0)ZsgTJ4bGUa90KJi1MIilrsmeXFes;GJ|-xBEKdjKXl6W z!>l_v3T!a6VLxP)_a~}g_nXxD5b<35e_!ZP+BC8}!oggDkaM2un>_fL=b)k^8xqky zI7BRO+Mg>#vVN{xpBF9!mma)}xhHO4p?!WS;{#4>n-4F%kQMEhrBSI^=($*Cl61ILT)4((cx~Pr zX2EWNb>Bj^xpiZ7`cV2dwSzI;d|=|~90W5{imMQf!aav!*SKcWHyizX6mb>^Uk)9xAj;ySVH*FFHI&)-XBUvBXf^<@pLje{|QZ6`)7i$wRr$QClX4$n7AdE`{ zgS3Vyuk~?QfYvE|d55UZKJl7u2`DgRxrZ2v(|I|^7Nl&8;i@~*~Nvd|E4@6 z6|r#s(|6mI)dd-eEYqGG04+QF-7@s)dR|A4o@O`R@b%Ym0$A6m=xJ(1+z)Fyhy7QZ zHlbo65o{L8y+61mQkb!o?f6D^!9j%7^Xic{=a@U10iebH*=Oqj(+Fq-3O+U3-87rF zb<8XvyXSrEVRDFjGz|oEt`bDOC5)&0q_?ziUb$IXPB~b3=WgOPbzg3mp+3iv^~JUt zPP7DlK6@{P(*@1un2^6yL60t>n~{@1X%S)9{0y;x2-si#$nXL?Z()h+Ue6jq!4ncu!)nFDA)iQfRWVUR5GqysCZLc4~m%BDPX;_=)8FL8vD8@L&P*KIa>9%UZF4boY_sY2yw}H?bid2 z4REEH=!eb@CRLcOiEgNrVPh*aZCRmuG16aMu^27xw7myie9_>D&=y@b?9MF3wm*)78OmsI0 z?98)sZYPJnjjA#+V_`f;qG(*FQms>5D~8|5UrY@boHfcEg3wKee~7GzuX#8Qx2}O8 zgvCuZUd%g%_jQ?=WNEGf;2DsVh_WJVB!UFN?-FS!iRz&pxC8De-Pm%ear zPQ2xb;AsF1n_gvHea(T8TP1EZQ!iNh3D0sZqfX|K;kuy6_JiJJX5~?qbBbmeqn)!$ z^0n)}>)epae^O{X32d@Ln#Z)XCOXA^hC;=nZ@fWvHOr zk2eX zse;=)yX7~4B1{^v9h%2=^m|$N%@_V5?LmsDm|=l3)Z=bu8ihRng4$(uo4(z&kLv6^ z8>R*_a~ichO4ezTI{nZm0uTxIhA87YR!0*X*SB_|nADvl4yDeGyY%|DgL%9?|`!xbws_>fO^W&RYrmiSIvk!uQwS zO0YQ644*rYRM4~MGSob={-}xoSHmLj?1y;$iX|44?F=Bif|ndk!@YgZX{HQ9 zngY0=Nb2vd4-x8&Zpxin$ICQd=zp7^E?svG_MLzSGd^@(9lglVq0S7gBJPcR=2xADl`vQ778y++ly?HoQDAMFa1I(_qil69D_AWe#-TplH!m{!R(1ac8=ux0 zfYt;7rFh`S8>?nih~>do1r|D++wt}Boz8qUV9uAb>QVGMI_yd@P$d)|aX(Amy2rU@=7$}CWB4adFc?|pGEkKDV@eL30O113s$&_F{Eh~!m|0#L z_EuL`#vyx+@lAnXCF;_??;()^Fev~9lOmcFqIageM~5pEW&zcCNXr+^r~TrGWcm*( ztvi(2O3E*OQA73>I%OE&uRJ(I58&JDB{l$&N;Cy^bM{=j)1peJnaedmf-Or zgXa%=ebqHS`yxA?$&e*nY4M-;e_bS+t>_dRiQoi>+qVo9qlu(tCD<5V$x?p_%yh1A z&S?s}A2o(buKqbX&b}V}G=d~BM6R&EVuUJ#Q+rT2U{o)LZ4s}Ux;O0$&HK{3j0y%; zEWc&@_lo@-g4+q9>uh|z#ygY(c5!P|51*jt*rESj6npIbxx#r-g-CyQK3P^4@|$|i zgZwj#5I=>rpa3OE?G1zbqPsd$?^Ur{z`kcU312o3qJ2$g(#i}YTZXKhmrp@ zzA#smy%d-q@yevLZ*)g%QP+)rniHATK9=Gif{_ONs?ujkNSM{`E;ow0AV)+P`~INE z|ByIO^w;e8_P=7s7kv@R&169f1H}i)u7}Qj&B`iH(YeLzf?cIDvP1iE9KrN*%4%di zQJC-L-RMBYR?toRK`)ma?mR_+ucK^l8(Hsyr+qXV;mG{>E5hYh#1;sSBcpT7Eq?Mw zpy(ms#xAPrhl|4(5VlU)1$Gq%c<%mD84W|oyCIh_w%q?5_%KU55x@>Er&g$WD6G&h zCmznpC?qv|Mn4UnXB%NVZ`(KXajZ5N4}r7Tj{T6DOZq@E0Z=XRah6N(e120zo~Q|* zGn9bUakrxFkNXKn5cDU2!WpC-tQ)i)$W!oU=NgI8R!*&{`-_C6yh$k+gmDlT@Y6nj zj})KZUyIROh`UB&-_PKhV?)0aO3uK%)W<=7@+-UeSqWz-DV(wra1&pcof`I^BLP0e zq;wtwxJQTndmMJTUtG>&4T9Jq7`hv{y$a zKDPeF(r1@K;$u&s82hB*-`?Rkk3VzqQV~NfJW$(M2;i`Po6kiFjdTsBLT#w0ou29S zufOWn|CIL@;D%KD@N|<+k5BfEbR}cl2bKhPI1ZWfH?}7i0V^$l0AI8;O?q6E0QmTD zfOjj2jg&nyl=ssEY=@))WB59NKM&B}0roo#S^a$Sl&$^qgFZj-!6C63ptduowbuHRiz@Ze zp$(J3?!4xi6&2c{9X&n9x95~KG$;U1H`Uv>Z_mxleE3UJ_uJaz@sES!r8*PoaqJY8 z)X91%Vh|+2e^(BCXAOh>gZM6d_AcniS6@i?2+KWRrSlsh^JDh>9QBPfN8nE#Uji6D z^$s4}MIQBwdGKHEcJZ%wr-SuhE%9%(MAM1$Tu(qhSjiO)hFAH9{92wq%@%NS?>uTs zVr{+!Z%t`Ze*OBbJ(&lp;BWScXjlbaC?d^Ww1Z@0a275L~0V49P|RaxmJc{(-v=>g9iM1aTjZ0`T@ z$HGrSb5lz%3C}A8w_t9$i>qRmx7M~lQ~$JEaJCr^E%=Nw5*XcNG^>JvJp$|AzxzY_ zM0V*=N|S$(rNO!p|Jj*@1fISfVS{9**~=mf@j9Joa9#mE@q(GVTh0{p5)`o6{0C&U zTUc#O)dO`+Ax%ba9t$x4o1t}WBkv$hO{oKL1l6TDfo!RE@@9hnEGcc)>?AyNs zL*7lFP#`?QItB(ZH9-~12OF{nsZ&#i00lnIhA5=AU61e5H~zU|wukz!OE<01MSQ?| zi6^D~a_B%cD!0aCzip`UA4dDbq7O?Y^kLI_uSc3o*T=RZ<{2K5@c?H6g#Y!F5(TF1)kmD@){pLP=jGBPl1WJHVcFev=#-12}VARbPIXTqgnBl@$Jqi_u*s<_o&p%G2N5%AH%kiK7^E+RX8myr(6AiJ3uCKH9zhCm@x@PLDe4EKkxLDGIr|b2#lJA z|Kn5T?`gcj)vmc$cyuLPp(9ep#IY*OTP2p#QxTWS+x@Cse9zN2poK6d|UI$ zk-u--+-Xh^eEdIt8~>ZS@J~%@@bYCb6~76P5C9&hz`wU|15T^QFORTMKqhO)O+ro0 zlGbi=o8KgD4pfbUgDYx?$umWbwQMPTg+>^CLzdk-$`XTa(f@VQk5{=ERoZQ+`W!% zrA`h5tRN4aa{sS>2Q2+$eK+smVA6-%J_o*^?W&@ibU#45XZh~dJ9?2Z3Vv5sgqhjY`hxfh!j`mz6?u-{#I!*uD%-I9+ z>$|=q8mhblPOFl?oKZlRlk9FDZS{I13+P{AgrbcR9x%T+? zqPPs$)og`iTdwo)k_|Ua44^w-H5D7l=M&Pqd;yn}sxLE3^^(d7FKF$0c2(eOk8Hgi zRWn{&7;l^^Q*ka{2L?&n!1uz20-4a7DHv1cH-;;`#Abuf$?w{&410#q1o=|UyXd5h9|YA5WGa#T|_>9l>8IrcO6{quxsX|>GH7wUFI zI;%q{J?%z@n*}m`@tJDO zRP%MdaH4l9cP#>zk&=ebC`G?fWPRK5TKpi;O4p@t+O_{k)(N>*A2^Sv)V@Upr}#2p zVDdfFzHislZmUB#J&&pRlJU8$glU~rFEhr*J4NeUUh7=~RNCxIy)+SRJH*l@EIA2n zJDd@)ytTvOxG|dH*}~IeTDs0Humctq@L7rn1oZaJd}tsYI%zDcP+&43V4^l(B%l`V z6VkOSBzF)a&k@tFKfk_5Dtl>({no4+sVb`NM!p@Fnlxolu5*29&)(Oxb==z>Tj)m9 z*;qWUW>|ijaU}Ubc0Yx7Cuo_!LnR;XRIh!Pq=(dq9+Y_>oQ&Rg#}=&I{EK$sJ!+R; zie7a~ii%tsdzqQaD!2-!YKJ2F1}fL{uE86pumxK&vD=(dxM;@RWV3mSxDhlWgKMTItsdMcwD>C8#Dnl&ZSLTR@fN$u|c?OqK}q!%o4Zb?z`NJKgG zzUiI2z6c`3I_hfLCw{GPMPC%)2gcEln$zJU*nCJOw=t59Hz;5q0!D$Vu;z7lVEZ{! zaI&nDwpJD~N#9xLcq-y(%xHgSt8Wwv<8{V%W!-$%T${U&040p>;rlAnaMmLFTo$a% z)+(Ng1O1ZUy$zc8XpjzbZgp2Q=87>j_T5g!hg9OO^Jub!4fo8%L3e+D{|#S(z2~Z0 zfN`CfSyt8Q1$`z3?h|>Ilz#bI85euUArFG`|x1OR`H$&}^ zYY;Z5loPpC>-lvq2i1&c3+oGvWHIyCl}TggRm^>QRR^=mza@M>qc>0a)X_WvFHKC1 z%NDYUdl&Q247ejV$Q?GKLH)0ZS5HmQaje#W)^KBg)TC%&5WQBTfqOVf)aT%=FTg70 z4Ak$uBlwhD#^~N^yX|D1P=7Wl_s#igNA+fXPEvYAo`Pd+=hrjS!%AQ3ODdEwF-?`Q zml0@h+$mC2ML$8fa2%g#rQZr)3@~9ruF|tD;Tjki{9X#zEygBrQCXlu1^B4fk zjh^^&ETllByq-SzqDg!jrCwhGBHsey&qYR(KWYIuuN;A=;rHtwHY)$eEzSRHN3I-z zmiP5yxzQJc517P1K7Av_Xpp4v^m|J&!#UBMS3VdSme7eC?3q<pZct^H28k^V4<5 zvh!`o54)`gkyL*BYFSJvD*v;oDfl=ywYua|p|h~CAR>RGb$dnI& z2aQEiT7zYGJ4hFkYkN(lv}NdMlnax%hzMOm)&uj=fn~K3BOgFc?(J z*hY2pnp-N3mz5R*hwKaYGZT{1< z;Et01YO(2vl@PQnOt#;g@b#MQ>fh#zU);qm{-Q}caEe{3$57QduPzr0yKW*~**42& zDlqBO+W5KKoxfg|@13R1n(y+e(!Tk9xw^=fSE{`3;f zCtWeuoa7?xJuxBEX-gg->W;m&#Kq^~ScaSJ1~pZ#=Rx*k)8FR?`ijelb*TzhbcZ)p zw~(f_At4U!%W^XnD;9CL{EG`4ydqF633MSYkm6FO_3xEi*^cwA&HBr+K4#t7)qQ;$ zaRToARQztAsE&iw)4O|T$;pR=9qm^xO@2=(5q8~3*jwHmv2KW0yDc(0D$Y#24COHg z4Ua@Tze6>I=43A*UYYWWcvCs5G4N7_dKtVmxEhDC6c~2wE?XP9u6j#W@OX=Bk8$Dc z3u`uTsw~PBVyR%L3!5(*Pba;4F;|=c-Dz1cwpDFc0y8H#>Ht69QdqDheqvx(9kD9I?sAll3i{h&(3O*(<+l!_u0^ z7NXl{o$mGb_s`Ds^tsrjRhDjD7h1N?%gw!NW@cu+JXEo9lnGg#|9cPn2&>)F09WhD z;JNxoV4&J0h>oop=iyHi=R1nSdvs16tRL3WjgFswkLG_kp8WIk;C~RH{=*a2C^1CX z9i=bd?phPy{B#irC5l-9Iriwv2YHV!0^zHaNpA}#~8yjCXqEPCq_%B7FObt5R=hs#zX7iu9PT6rEjj9pWF`Xw9 zh==}mc6U_%D-rlVyusr>_#X=CFT`#Yugl!u2${)VVs z+2F?GZ$E+f{8Byg?a?Uxc4Nb(0!SKepL_Xo`$EmO*%4arF?-q_`h~}bZG6SWf9ds) zrY8UG4fD^R@IQ*tKNa|51Ug>pO}wI8$}G@lHMP!H4hg%ux(1<9p(d_0(OMK^z3Hy= zek)_+SI*?u4S}n~2ac?Kk5`s>#>0?~8`z`1b?@5SbK{Qr#kNFpPCVmuL?!0RWODSa z0*!if(3={6-CqN2`~LF+6=RM+102|v9QaH7w!p)y$eps~p!7jwQEW$x|1dshiv1>d z_~?mv%*6=t3Y^92oj)s5p&MH@LAr) z9YO989xv5~-0jI0&)WDNp1f^Q5p&UL>T%agAbz!8fra3Bcc-rIZhbJAFI%_r(Q*CZ z+Y?}F7N1t;QSnhJ;{dLQfU20+e%5grvaGX)aS zt!1@EH^bqNxAAp3e6>gw+`i!I+D=Z98-mny$a z&;LLfLtTle%9=dJ zMYk^mHx148Bqa_iBif6G9d-Glkr~TBP_1Y}2$BAz#je^c%gvAp_ez%2fC_}=kxSTp zhYjmi_j0~aTWh>G9Dj-&wt*QE-Rm2aDj`swvQSV8~K=KoM?%)v8U$y?d`& z`xw2NHG#x%gPK`eAR^(3_GtuR`N8t-<1_M26-G-PviL{3CP;V0DE(iA7}mcZV*K>q z0NGksSJ&83h3o85b#272vAH=d<^9WXU;$9zpL{%9d^4IFD6u{LIo2P4XPNQOKYIVw zu<*~$nwKlTeUgNR1|NOz+5M&OXWN0CS0CPK%6(KS8~JcDc?Cwt$8VAzM@B_Cn9^$p z2ac18Pbs7GQ*3NNbTs*yqi!C#0>q|I(b4ZqN)8`HSbDfYuavJKe*!P~rcra8OzqK+ zxrq%h`s|U2eheo1>Hm9S_P?OT{&x1u1=e>4>SD$HK|0NdBbJbd1aOPMs_+R94`rt* zJ0EYZ$sps!U>W%vvonI3KrjHp#Y6vl4h{|?N4Mr746ONH8yV37t4GV?SgMPkKCR#f z(l;oq96fKJ4&#i0`WJnV_dth`xmz5?+Q)pS-I2L9q_m8S{NoU^wA1gd~mgi44! zS1QJTv+(D|)Ja+plb9$gem%OT;`NB}VLOjumMdk&T_L-(X&>D+S5FE)E2QBygW4FB z_h}zgrn9YmIT)fnjqZEii#0=N(cvqnOUC_O{u^K*13VdPiT{3N+oz_zF9zbewUKss Oyo9KXNVd?cxBnj%7qW%` literal 0 HcmV?d00001 -- 2.25.1 From 09ec06e55b73182e877dd3418c5cf4deda764f78 Mon Sep 17 00:00:00 2001 From: Anton Date: Sat, 26 Oct 2024 13:42:05 +0400 Subject: [PATCH 2/4] lab 1 is done!!!! --- lab1/lab1.ipynb | 133 +++++++++++++++++++++++++++++++++++++++++++++--- 1 file changed, 127 insertions(+), 6 deletions(-) diff --git a/lab1/lab1.ipynb b/lab1/lab1.ipynb index 32e3608..06cd5df 100644 --- a/lab1/lab1.ipynb +++ b/lab1/lab1.ipynb @@ -11,7 +11,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 1, "metadata": {}, "outputs": [ { @@ -42,23 +42,144 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Эта гистограмма в диапазоне с " + "Эта вывод датасета по столбцам \"Year_Birth\", \"Marital_Status\", \"Income\"." ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 4, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " Year_Birth Marital_Status Income\n", + "0 1957 Single 58138.0\n", + "1 1954 Single 46344.0\n", + "2 1965 Together 71613.0\n", + "3 1984 Together 26646.0\n", + "4 1981 Married 58293.0\n", + "... ... ... ...\n", + "2235 1967 Married 61223.0\n", + "2236 1946 Together 64014.0\n", + "2237 1981 Divorced 56981.0\n", + "2238 1956 Together 69245.0\n", + "2239 1954 Married 52869.0\n", + "\n", + "[2240 rows x 3 columns]\n" + ] + } + ], "source": [ - "df " + "data = df[[\"Year_Birth\", \"Marital_Status\", \"Income\"]].copy()\n", + "print(data)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "Out " + "Данная гистограмма отображает распределение значений года рождения среди клиентов. На оси X указаны годы рождения, разбитые на 100 интервалов, чтобы отобразить каждый год с большей детализацией. На оси Y показано количество записей (частота) для каждого года. Анализируя гистограмму по столбцу \"Year_Birth\", можно сделать выводы о возрастной структуре клиентов. Например, можно увидеть, что большинство клиентов родились между 1950 и 1980 годами, а количество рождений до 1940 года и после 1980 года значительно ниже." + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "

" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "data.plot.hist(column=[\"Year_Birth\"], bins=100)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Данная гистограмма отображает распределение доходов среди клиентов. На оси X указаны значения доходов, разбитые на 50 интервалов, что позволяет увидеть, как доходы распределены по разным уровням. На оси Y указано количество записей (частота) в каждом интервале дохода. Анализируя гистограмму \"Income\", можно сделать вывод о том, как варьируются доходы. Например, мы можем увидеть, что большинство клиентов имеют доход в пределах определенного диапазона, и только небольшая часть имеет более высокий доход." + ] + }, + { + "cell_type": "code", + "execution_count": 48, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import matplotlib.pyplot as plt\n", + "\n", + "plt.figure(figsize=(10, 6))\n", + "data[\"Income\"].plot.hist(bins=50, color='skyblue', edgecolor='black')\n", + "plt.title(\"Распределение доходов среди клиентов\")\n", + "plt.show()\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Данная круговая диаграмма отображает распределение клиентов по их семейному положению. На ней представлены различные категории семейного положения, такие как Married, Together, Single, Divorced и Widow, каждая из которых окрашена в отдельный цвет и подписана соответствующим процентом от общего числа клиентов. Анализируя эту диаграмму, можно сделать вывод о том, что наибольшую долю клиентов составляют Married (38.7%) и Together (26.0%), что указывает на преобладание семейных или живущих вместе клиентов. " + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "filtered_data = data[data[\"Marital_Status\"].isin([\"Married\", \"Together\", \"Single\", \"Divorced\", \"Widow\"])]\n", + "\n", + "plt.figure(figsize=(8, 8)) \n", + "filtered_data[\"Marital_Status\"].value_counts().plot(\n", + " kind=\"pie\", \n", + " autopct='%1.1f%%', \n", + " colors=['salmon', 'skyblue', 'lightgreen', 'orange', 'purple'], \n", + ")\n", + "plt.title(\"Распределение клиентов по семейному положению (без YOLO и Absurd)\")\n", + "plt.ylabel(\"\") \n", + "plt.show()\n" ] } ], -- 2.25.1 From a014ef708113e1d5b5d95fd619f8faa1bbfbe2f8 Mon Sep 17 00:00:00 2001 From: Anton Date: Sat, 26 Oct 2024 14:00:22 +0400 Subject: [PATCH 3/4] lab 1 end --- lab1/{Сваггер.png => image.png} | Bin lab1/lab1.ipynb | 33 ++++++++++++------------- lab1/requirements.txt | Bin 1142 -> 0 bytes 3 files changed, 16 insertions(+), 17 deletions(-) rename lab1/{Сваггер.png => image.png} (100%) delete mode 100644 lab1/requirements.txt diff --git a/lab1/Сваггер.png b/lab1/image.png similarity index 100% rename from lab1/Сваггер.png rename to lab1/image.png diff --git a/lab1/lab1.ipynb b/lab1/lab1.ipynb index 06cd5df..40bf4aa 100644 --- a/lab1/lab1.ipynb +++ b/lab1/lab1.ipynb @@ -11,7 +11,7 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 11, "metadata": {}, "outputs": [ { @@ -47,7 +47,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 12, "metadata": {}, "outputs": [ { @@ -80,29 +80,19 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Данная гистограмма отображает распределение значений года рождения среди клиентов. На оси X указаны годы рождения, разбитые на 100 интервалов, чтобы отобразить каждый год с большей детализацией. На оси Y показано количество записей (частота) для каждого года. Анализируя гистограмму по столбцу \"Year_Birth\", можно сделать выводы о возрастной структуре клиентов. Например, можно увидеть, что большинство клиентов родились между 1950 и 1980 годами, а количество рождений до 1940 года и после 1980 года значительно ниже." + "Данная столбчатая диаграмма отображает распределение количества клиентов по годам их рождения. На оси X указаны конкретные годы рождения, а на оси Y — количество клиентов, родившихся в соответствующем году. Анализируя диаграмму, можно сделать выводы о возрастной структуре клиентской базы. Видно, что пик рождаемости среди клиентов приходится на период с 1950 по 1980 годы, что может указывать на преобладание клиентов среднего возраста." ] }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 16, "metadata": {}, "outputs": [ { "data": { + "image/png": "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", "text/plain": [ - "" - ] - }, - "execution_count": 13, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" + "
" ] }, "metadata": {}, @@ -110,7 +100,16 @@ } ], "source": [ - "data.plot.hist(column=[\"Year_Birth\"], bins=100)" + "import matplotlib.pyplot as plt\n", + "\n", + "year_counts = data[\"Year_Birth\"].value_counts().sort_index()\n", + "\n", + "plt.figure(figsize=(12, 6))\n", + "year_counts.plot(kind=\"bar\", color=\"skyblue\", edgecolor=\"black\")\n", + "plt.title(\"Количество клиентов по годам рождения\")\n", + "plt.xlabel(\"Год рождения\")\n", + "plt.ylabel(\"Количество клиентов\")\n", + "plt.show()\n" ] }, { diff --git a/lab1/requirements.txt b/lab1/requirements.txt deleted file mode 100644 index 382accda07d54c50ee5c10fade35f8bf85c8d65a..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 1142 zcmZXTYf=J1421LBDvyH2E2xwb-&5OL z;@jD)Ev(_c2fo^_?3z>ArCr#J=!VnT)V3TUhCSl;gxC_x5#`q&nZx>I@3yqo4j!+F zjX8IxxcJ2_6`f;lhzl3>7xo3q43=aoG%g*Z8o~^nXXX6rp#!l%ue96}ukD_{H)p71 zFH~wAAtiwbo;A61s^m^8&kh}H6sU{jRVFCffRtsw? zvpi1D`D6p{RQ&3usL8(RR+Af$yGK)lnics%$`$E|jv7>NPwr>eVmd9^GbTU9({pFb z?1gA>L{-Eclg&LU+7XGm+6no2?ft7C_4Q1&LxEfsRxIKlabkN~?su*+*@TQ8-v(7H zehV#R?Ay3!-uJsurd&3mB_^LIoDUQPM)}envw6g^B^6_KrL)TQhi@_I*pz`gpt;8m z2B-M6TjFlfta+U09$kISUF{ub&ky$LZjZQ+{)W`mCaC5SU2lD6>~Egro~$pA#M>w{ zR^^yvR$5+Z*~oZb4ahlaRavnz>x6GpcYQ;rsh?H6#h92hCKPHPR8bs%`}<_0)ZZM$ LizBl4Rqy^UQevj& -- 2.25.1 From 45af581f211f3f3ab74167d92cfa1b21ef64715a Mon Sep 17 00:00:00 2001 From: Anton Date: Sat, 26 Oct 2024 14:03:56 +0400 Subject: [PATCH 4/4] lab 1 end!! --- lab1/requirements.txt | Bin 0 -> 1142 bytes 1 file changed, 0 insertions(+), 0 deletions(-) create mode 100644 lab1/requirements.txt diff --git a/lab1/requirements.txt b/lab1/requirements.txt new file mode 100644 index 0000000000000000000000000000000000000000..382accda07d54c50ee5c10fade35f8bf85c8d65a GIT binary patch literal 1142 zcmZXTYf=J1421LBDvyH2E2xwb-&5OL z;@jD)Ev(_c2fo^_?3z>ArCr#J=!VnT)V3TUhCSl;gxC_x5#`q&nZx>I@3yqo4j!+F zjX8IxxcJ2_6`f;lhzl3>7xo3q43=aoG%g*Z8o~^nXXX6rp#!l%ue96}ukD_{H)p71 zFH~wAAtiwbo;A61s^m^8&kh}H6sU{jRVFCffRtsw? zvpi1D`D6p{RQ&3usL8(RR+Af$yGK)lnics%$`$E|jv7>NPwr>eVmd9^GbTU9({pFb z?1gA>L{-Eclg&LU+7XGm+6no2?ft7C_4Q1&LxEfsRxIKlabkN~?su*+*@TQ8-v(7H zehV#R?Ay3!-uJsurd&3mB_^LIoDUQPM)}envw6g^B^6_KrL)TQhi@_I*pz`gpt;8m z2B-M6TjFlfta+U09$kISUF{ub&ky$LZjZQ+{)W`mCaC5SU2lD6>~Egro~$pA#M>w{ zR^^yvR$5+Z*~oZb4ahlaRavnz>x6GpcYQ;rsh?H6#h92hCKPHPR8bs%`}<_0)ZZM$ LizBl4Rqy^UQevj& literal 0 HcmV?d00001 -- 2.25.1